96 jobs found

About the Role Grade Level (for internal use): 09 Location: London, United Kingdom Program Overview: When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You are part of a team that produces high quality fundamental research based on established criteria. Our CREDit Graduate Program is a two-year training and development opportunity with our next intake joining us in September 2026. CREDit Program Analysts are hired for a specific practice; however, you are expected to transition between practices as dictated by business demands. In your first year CREDit analysts focus on acquiring skills and knowledge from your home practice. In your second year CREDit analysts gain exposure to other practices through a mix of classroom training and small projects or short-term secondments. All analysts combine practical work experience with the completion of a relevant qualification. For example, this could be the CFA. The Practice When you join S&P Global Ratings, you join one of the world's leading providers of independent credit risk research and benchmarks. You will be part of a team that produces high quality fundamental research based on established criteria, you have the opportunity to ask probing questions to senior corporate executives, and interact with the global investor community. With offices in 26 countries, rating $47.5 trillion in debt, and with nearly 1,400 credit analysts, S&P Global Ratings is an important part of the world's financial infrastructure and has played a leading role for more than 150 years in providing investors and financers the information they need to more easily, quickly and efficiently provide capital to businesses and governments. The Business Practice Groups include: Corporates, Public Finance, Financial Institutions, Structured Finance, Sovereign and International Public Finance, and Infrastructure. This position will be with our Government team within our Sovereign and International Public Finance practice. Key Responsibilities Conduct credit and recovery analysis for various companies and services provided to corporate, institutional, and governmental clients, ensuring accuracy and attention to detail. Evaluate the creditworthiness of organizations, focusing on their ability to meet financial obligation. Provide timely and precise quarterly financial statistical and data analysis, demonstrating strong organizational skills. Assist in reporting, research, and presentation development, leveraging analytical skills to support research and analysis. Collaborate with the team on execution improvements and ad-hoc writing projects, fostering a collaborative and inclusive work environment. Utilize AI technologies to analyze large datasets and derive actionable insights, integrating them into existing analytical frameworks. What We're Looking For Required Qualifications and Experience: Completion of a minimum undergraduate degree by August 2026, with a strong academic record. All majors welcome, including Accounting, Business Administration, Engineering, Economics, Finance, Math, Public Policy, Quantitative Analysis, Data and Statistics. Proficiency in Excel and other Microsoft Office products (Word, Outlook, PowerPoint), demonstrating the ability to handle data and presentations effectively. A proactive mindset and adaptability, essential for thriving in a dynamic environment influenced by advancements in artificial intelligence and technology. Intellectual curiosity, with a keen interest in learning and applying new knowledge in credit analysis. Ability to conduct independent analysis and research, showing initiative and resourcefulness. Strong relationship-building skills, emphasizing collaboration and effective communication with team members. Strong storytelling skills, able to take complex data insights and turn them into engaging narratives that resonate with and inform our stakeholders. Demonstrated problem-solving, time-management, attention to detail, and organizational abilities. Fluency in English and the primary language of the hiring location. All employees are required to work from the office a minimum of 2 days per week. We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications and Experience Familiarity with AI technologies or tools, including Machine Learning Algorithms, Natural Language Processing Tools, and/or Robotic Process Automation, reflecting a forward-thinking approach. Right to Work Requirements This role is limited to persons with indefinite right to work in the country where this job has been posted for. Please note no visa sponsorship is available for the position. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law . click apply for full job details

About our Team Are you motivated by turning complex data into trusted, decision ready insights that directly impact how people are rewarded for their work? Do you enjoy improving data processes and automation to make systems more accurate, scalable, and reliable? Our team supports the accuracy and integrity of sales and compensation data across the organisation. We work closely with Sales Operations, Finance, and technology partners to ensure data is reliable, well controlled, and ready for critical reporting and payout cycles. The team focuses on continuous improvement, strengthening data quality, increasing automation, and reducing risk through clear processes, collaboration, and shared accountability. About the Role This role focuses on building, validating, and maintaining high quality participant level data that underpins sales compensation outcomes. You will work across sales, finance, and technology partners to ensure data is accurate, auditable, and ready for payout cycles. The role plays a key part in improving automation, reducing manual effort, and strengthening stakeholder confidence in compensation data. Responsibilities Ingest and consolidate large datasets from Sales Operations, Finance, and CRM systems Map transactions and performance metrics to sales participants Own data quality controls, reconciliation processes, and audit trails Ensure accurate attribution of revenue, quotas, credits, overlays, and splits Prepare validated datasets to support compensation payout cycles Investigate and resolve data discrepancies and support audits Build reporting to track data accuracy, readiness, trends, and risks Review end to end processes to identify inefficiencies and implement automation and standardisation Requirements Strong experience working with large, complex datasets Advanced Excel skills for analysis, reconciliation, and validation Experience in analytics, sales compensation, or related data operations Ability to perform root cause analysis and solve data quality issues Clear communication skills to work with technical and non technical stakeholders Experience preparing data for financial or compensation processes Knowledge of SQL or Python Familiarity with compensation platforms, CRM systems, and data visualisation tools Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Data Analyst Reports to: Head of Commercial Data Intelligence About Independent Media Independent Media comprises The Independent, Standard Digital, Bulletin, BuzzFeed UK, HuffPost UK, Tasty UK, Seasoned, IndyBest and indy100. Harnessing market-leading innovation and excellence across its portfolio of pioneering brands, Independent Media has unrivalled scale, integrity and authority via its sites, apps, video, audio, experiential, newsletters and social media. While each Independent Media brand speaks in an authentic, unique voice to a loyal and distinct audience, they stand together in their commitment to positivity, inclusivity, and quality journalism and content. Independent Media's network reaches 650 million users each month, with 1.1 billion content views across its brands and platforms, including web, apps, social media, podcasts, email, YouTube, syndication partners and print. The role and the team The Advertising Operations function consists of three core pillars: Campaign Management - delivery and optimisation of direct-sold campaigns, trafficking, QA and client service support. Ad Tech Ops and Partnerships - yield management, SSP relationships, inventory strategy, deal management and auction optimisation. Ownership of the advertising technology stack including ad server, header bidding, identity and consent integrations, measurement solutions and platform performance. Revenue Intelligence - revenue analysis, yield reporting, forecasting support, performance diagnostics and data-led commercial insight to drive monetisation strategy and optimisation. As a Data Analyst, you will translate the modeled data into decisions, revenue forecasts, partner performance narratives, yield optimization recommendations that go to stakeholders (sales, finance, programmatic, ad tech). You will work closely with the Ad Operations and Data Engineering team to make sure data is accurate, accessible, and ready for analysis. Your work will help the company optimise revenue, run experiments, and lay the foundation for AI-driven automation. This is a unique opportunity to learn ad tech, revenue analytics, and AI-enabled decision-making while developing strong engineering skills, writing clean, production-ready code, building scalable data pipelines, and contributing to a high-impact team. Diversity, Equity and Inclusion We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that's more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here. The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. About you You hold a degree in a business-related field (such as Economics, Business Analytics, or a STEM subject). You have a solid grasp of fundamentals like SQL and Python and are eager to master the modern data stack. You don't just flag problems, you look for solutions, take ownership of your tasks, and tackle complex challenges head on. You're naturally curious, you ask why, and you don't stop until you've got a real answer. You manage your time effectively and thrive in a fast moving, commercial environment. You communicate effectively by building well documented, intuitive data models that business users can explore autonomously. You're keen to use AI and modern tools in your day to day work, rather than defaulting to spreadsheets. You work well under pressure and can juggle shifting priorities. Key responsibilities and accountabilities Proactively develop and automate data-driven recommendations for revenue optimisation and partner strategy. Design, run, and analyse A/B tests to support yield and revenue optimisation decisions. Enable self serve analytics by building robust, reliable datasets for commercial teams instead of fielding individual report requests. Use AI tools to speed up analysis and get to insights faster. Implement automated testing, monitoring, and alerting within the data pipelines to catch discrepancies in revenue, yield, or partner data before they reach downstream dashboards. Learn and contribute to ad tech operations and revenue optimisation projects. Essential skills and experience Track record of taking ambiguous data problems from initial scoping to final delivery. Confident in SQL, with some Python. Familiar with modern BI tools. Good written and verbal communication, comfortable presenting to stakeholders. A strong interest in exploring AI, automation, and predictive analytics to drive business value. An interest or background in setting up and evaluating A/B tests. Our values - you will deliver across all our values Inclusive: We champion diversity in our teams and in our reporting. Working as a team, we put transparency and effective communication at the heart of everything we do. Innovative: From the very beginning, The Independent has been breaking the mould. We take risks and are always looking to try new ideas in pursuit of excellence. Independent: Nobody tells us what to think; we make up our own minds and aren't afraid to do things differently. Like our readers, we value honesty and integrity above outside influences.

Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It's a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we're focused on making insurance simpler, faster, and more responsive. Shape the future We're leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you're not just taking a job, you're stepping into a career where you can make a real difference. Grow with us We're customer-driven, community-focused, and committed to helping our people grow. Whether you're early in your journey or bringing years of experience, we'll support you with the tools, flexibility, and opportunities to thrive. Win as a Team In your role, you will bring clarity to complex third party spend, helping teams make informed commercial decisions that deliver better outcomes across the organisation. By connecting data, finance, and procurement, your work strengthens transparency, supports cost optimisation, and enables smarter sourcing choices. You are part of a collaborative environment where your insights directly shape how value is created and measured You'll make an impact by: Analysing supplier spend data to uncover trends, identify opportunities, and highlight areas for cost optimisation. Developing and maintaining spend dashboards and reporting that improve visibility and support decision making. Conducting contract analysis to surface commercial opportunities, risks, and compliance gaps. Building and refining cost models that support sourcing decisions and business cases. Validating and tracking procurement savings in line with finance methodologies to ensure accuracy and consistency. Partnering with procurement and finance stakeholders to strengthen data integrity and reporting quality. Your skills and experience: Background in finance, data analysis, or procurement analytics with a focus on delivering insights. Considerable analytical capability with confidence in handling and interpreting large and complex datasets. Advanced Excel skills, with experience in Power BI or similar reporting tools supporting data visualisation. Understanding of procurement processes, spend analysis, and savings validation approaches. Ability to develop cost models and contribute to financial business cases. Good attention to detail with a focus on data accuracy and clear communication with stakeholders Why You'll Love It Here Being part of our team means you'll have the support and freedom to bring your best self to work eachday. As a permanent member, here's what you can look forward to Annual discretionary bonus Up to 11% pension contributions Hybrid working + flexible hours 25 days annual leave + bank holidays + buy/sell options Health & wellbeing + virtual GP Career development and mentoring Inclusive culture + employee networks Share investment options Our DEI Commitment We celebrate individuality and believe our differences make us stronger. We're proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone's circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work-life balance. If you meet the core criteria but not every requirement, we'd still love to hear from you. Let's explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we're here to support you.

About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. About the Role We're looking for a passionate and pragmatic Analytics Engineer to join our Analytics Engineering team, helping to scale our stack for a new data-driven era at Swap. This is an important contributor role within the team, offering a good degree of ownership and the chance to help build a scalable, modern data architecture. You'll build and maintain the data models that power our entire business-from internal commercial insights for Sales and Finance to the trusted data sets enabling customer-facing agentic systems. We need a hands on builder excited to contribute to our high-quality dbt project, help shape our analytics vision, and support the scaling of our models as we grow. If you thrive in a fast-paced, collaborative team with high ownership and impact, we'd love to hear from you! Key responsibilities dbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives. Data Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core set of performant, scalable, and trusted data models that power all downstream consumers-from our internal BI tool to our customer-facing agentic systems and analytics APIs. Data Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale. Stakeholder Partnership: Partner with commercial (Sales, Finance) and product teams on data needs, assisting in translating business questions into data requirements and helping to manage delivery expectations. BI & Self-Service Enablement: Contribute to the development and refinement of foundational data assets in our BI tool (Lightdash), helping stakeholders and analysts access insights effectively. What we would like to see Solid experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience. Hands on experience with dbt (dbt Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. A detail oriented mindset with a willingness to learn and contribute to building trustworthy data products. Diversity & Equal Opportunities We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.

Work Location: London, United Kingdom Hours: 35 Line of Business: Technology Solutions Pay Details: We're committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role. Job Description This is a hybrid role within our Treasury technology group that covers: Business analyst within our Treasury Analytics Group. Support for our FIS Quantum & TBSM applications within our Production Support Group. The Treasury Analytics Group is responsible for measurement and management of market risk (interest rate and foreign exchange) for the Bank's retail portfolios. The team develops financial models and processes required for measuring, transfer pricing, hedging product profitability, and financial management reporting. The Treasury Analytics Group is embarking on a brand new initiative to build the next generation strategic platform for risk, valuations and analytics to meet the growing and future needs of the department. This is an exciting opportunity to work on cutting edge technologies including Big Data and NoSQL databases (Hadoop, HBase, Hive, Spark and MongoDB) to allow the business to gain advanced insight into their portfolios and valuation metrics. Business Analyst Responsibilities Lead business requirements elicitation, analysis, and documentation efforts Assist technology team in Azure cloud solution implementation; write Spark SQL queries to analyze and transform data; provide feedback to User Interface team; testing and documentation Analyze solution requirements; understand project scope; determine project priorities; ensure efficient and on-time delivery of project tasks and milestones; follow proper escalation paths Look for opportunities for process improvement and automation Production Support Responsibilities Provide support for vendor hosted FIS Quantum application, covering stakeholders from Front Office, Operations and Finance Provide support for Treasury Balance Sheet Management applications and batches Provide high quality application and user support to ensure IT systems availability, reliability, and performance that support business processes globally Manage the Incident through to completion. Engage various IT teams in resolving incidents efficiently and effectively Perform effective troubleshooting, incident & problem management Deploy changes to the Production Environment follow the TD Bank's Change management process Perform scheduled activities such as DR testing, user attestations, remediation of control audit, etc Update knowledge-based articles on timely manner and conduct trainings across regions Working hours and coverage includes Team onsite coverage is required 5 days a week Adhoc after hours, weekend and Bank Holiday coverage Shift coverage typically between 7am - 7pm Job Requirements Mandatory Skills Undergraduate Degree or Technical Certificate 5+ years relevant experience Experience working on large scale projects as well as handling day-to-day operational requests from the business stakeholders Experience in Linux, Oracle, MS SQL DB, ITRS, Autosys, Dynatrace, Splunk Ability to successfully manage multiple tasks at any given point, strong relationship building skills & communication skills Ability to work independently and as part of the team in Agile environment Strong problem-solving skills Strong Excel skills Experience working with developers, business analysts, and infrastructure support teams will be an asset Knowledge of automation and process improvement Strong understanding of ITIL Incident Management, Problem Management and Change Management Knowledge of Scripting, SQL and/or experience in programming languages such as Java and Python Knowledge of IT project & development lifecycles (SDLC), agile methodology, and ITIL Nice to Have Skills Experience in FIS Quantum application Experience in financial services industry, specifically in Capital Markets and Treasury Experience with Big Data and NoSQL databases (Hadoop/HBase/Spark) and Spark SQL is a bonus Familiarity with other programming languages is a plus (e.g., Python) Practical experience of support both Physical, and VMware environments Understanding of financial markets and products Experience in Banking Operations technologies such as liquidity and market risk Practical working experience in multi-tier applications support will be an asset to have Knowledge of cloud technologies, including Azure Experience in messaging, middleware, Java application servers Who We Are TD Securities is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Our Total Rewards Package Total Rewards at TD includes a base salary and several other key plans such as health and well-being benefits, including medical coverage, paid time off, career development, and reward and recognition programs. Additional Information We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation If you require an accommodation for the recruitment / interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs. US Labor & Employment Posters California Privacy Accessibility FAQ US Labor & Employment Posters California Privacy Accessibility FAQ Our Values At TD we're guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture. Our Commitment to Diversity, Equity, and Inclusion At TD, we're committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We're dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve. Helping to Make an Impact in Communities - TD Ready Commitment That's why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It's our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities. Learn more: Canada US Europe & Asia Pacific

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst (Fintech) based in United Kingdom. This role offers the opportunity to build advanced analytics capabilities within a fast growing financial technology environment. You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence. Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up. The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency. You will play a critical role in ensuring data accuracy, audit readiness, and the development of data driven strategies. This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team. Accountabilities Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms. Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive level reporting. Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews. Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions. Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information. Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators. Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks. Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities. Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision making processes. Requirements 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services. Expert level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms. Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis. Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive level dashboards. Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA. Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions. Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly. Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable. Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery. Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus. Benefits Fully remote work opportunity within an international and agile team. Competitive compensation package based on experience, skills, and individual contribution. Opportunity to build and shape analytics processes and reporting infrastructure from the ground up. High impact role supporting mission critical financial reporting, compliance, and business decision making. Career growth opportunities across technical, leadership, and cross functional career paths. Collaborative culture focused on transparency, experimentation, ownership, and measurable impact. Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.

Senior Engineer, Risk EngineeringApplylocations: Hong Kong: Londontime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR About Bullish Bullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include: Bullish Exchange - a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar. CoinDesk Indices - a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries. CoinDesk Data - a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics. CoinDesk Insights - a digital asset media and events provider and operator of a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology. Reports to: Director, Engineering Engineering Organization & Culture At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges. The Team: Risk Engineering The Risk Engineering team builds the high-performance computational backbone that safeguards our exchange operations. Bridging quantitative finance and systems engineering, we optimize the mission-critical risk calculations that evaluate margin requirements, stress scenarios, and portfolio exposures in real-time, ensuring every trade is backed by solid financial guardrails. Our technical domain spans low-latency JVM optimization, zero-allocation hot paths and complex financial modeling. What You'll Do High-Performance JVM Engineering: Develop and maintain high-quality, scalable, and performant JVM services and APIs, with an eye toward low-latency and efficient memory management. Technical Translation & Risk Modeling: Work closely with senior technical leadership to understand risk models and decompose complex business requirements into well-tested, robust implementations. Cross-Functional Collaboration: Collaborate with quantitative analysts and product teams to implement reliable solutions for financial products and risk models. Continuous Codebase Optimization: Actively optimize and refactor the existing codebase to enhance automated testing, performance, and maintainability. Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team. What You'll Bring Professional Experience: 5+ years of professional experience as a Java backend engineer. Mindset and Ownership: A strong sense of accountability and the agility to thrive and adapt in a dynamic startup environment. Language Proficiency: Advanced proficiency in Java, with a solid understanding of multi-threading, concurrency, and JVM performance tuning. Testing Methodologies: Strong hands-on experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing. Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture. Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred). Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR). Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills. Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice To Haves Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like Chronicle Queue. Interest or minor experience in mentoring junior peers and contributing to a collaborative engineering culture. Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

Senior Manager - Business Application Owner Reports to: Senior Manager - Global Financial Accounting and Reporting team Location: London, UK - Global Headquarters Type: Permanent Department: Global Financial Accounting and Reporting team What impact you can create at Chanel As Chanel continues to drive process efficiencies through more harmonised processes and streamlining its systems landscape, we are looking for a Business Application Owner in a truly global function.You will be in charge of a large portfolio of portals including Oracle (FCCS, ARCS, TRCS, Narrative Reporting) and Powerplan in the larger Finance ecosystem in the Record-to-Report area.In very close collaboration with IT Application Owners, Process Owners and Data Owners, as well as managing relationships with multiple stakeholders within the Finance community, you will cover 5 main areas: 1. Run Operations Excellence : Together with the IT Application owner and an offshore team, you will be responsible of providing service excellence to the Finance community, enhance operational efficiency and compliance: As a gatekeeper, you will be the first line of contact for any questions from the Finance community, provide functional answers to their questions and re-direct to other expert teams across Finance and Tech Develop a culture of continuous improvements, engage with users to understand their pain points, generate ideas on how to automate processes and define priorities for enhancement sprints to maximise business value Drive requirements gathering and define functional design to hand over to the IT Application owners for technical design and development Define test scenarios to ensure that your systems perform at the highest quality, coordinate users to test and/or perform tests yourself Optimise licenses in the best way, review system access regularly and ensure highest levels of internal controls and external audits on access management with your partners in Tech 2 . Data Quality Management: As a data steward, you will be responsible for the data quality in the system, setting up monitoring processes and work with the IT application owner to develop data quality monitoring tools that allow you to ensure the highest level of data quality in systems that provide insights for decision making at Chanel. You will also be working with the process owners to suggest changes to data models and liaise with the relevant data owners to represent the needs of Financial Reporting in elements like the Standard Chart of Accounts and other Financial dimensions and work with accounting and business users to improve data quality and code costs in the right way 3. Project Management: Asprocess will adapt to new business challenges and technology will continue to provide more opportunities to transform our Finance function, we will be led to occasionally run projects to re-vamp the existing applications or add additional modules. You will be in charge of project managing these projects end-to-end from mobilising teams, defining scope, orchestrating requirements gathering and process design, overseeing the development phase with the help of the IT application owner, run tests and change management activities. 4 . Training Academy: As the Finance community keeps on growing and internal mobility allowing our teams to grow, it is important to empower the system users to know how to get the most out of the applications on their hand. You will actively drive adoption of the solutions and driving process efficiencies by setting up training plans and training paths for new joiners and more experienced users across the year, define the training content and making it relevant and updated by working with users and understand their challenges, analysing frequent support tickets and anticipating transformation needs in the Finance community. 5. Reporting & Dashboarding: Being embedded in the Finance function, you are close to the business needs and will be able to assist your peers in Finance to create, maintain and make reports available to Finance analysts. Besides operational reporting, you will also be able to invest yourself in the Dashboarding strategy for the data coming from your systems and push topics related to self-service reporting. You are energised by : Working in global organisations with high degrees of complexity Providing excellent tools and services to users all while setting up relevant governance processes Building effective relationships across a diverse range of teams Delivering high quality solutions and aiming for continuous improvement What you will bring : Knowledge, experience & skills required + BS or BA required, preferably in Accounting, Finance or Information Systems. MBA or CPA is a plus + Strong experience in Legal Accounting Reporting. Software certification is a plus, particularly regarding full suite of offerings from Oracle and Powerplan and ERPs + Minimum 6 years of experience in accounting, data analytics and/or systems implementations/administration + Strong hands-on experience in IT Service Management + Project Management from A to ZStrong analytical skills to ensure data quality and define impactful reporting + International and multicultural experience working with markets outside of Europe is a must. You are: + Able to understand and handle situations/decisions across a complex ecosystem + Able to communicate with people with different backgrounds and ways of working and easily explain technical problems to people without a deep technical understanding + You have the ability to think "Global" and to align regions in this common vision + A team player! About UsChanel is a world leader in creating, manufacturing and distributing luxury products, including Ready-to-Wear, Accessories, Fragrances, Makeup, Skincare, Jewellery and Watches. Founded by Gabrielle Chanel in 1910, the House remains dedicated to quality craftsmanship and offering high-end creations. At present, Chanel employs more than 32,000 people worldwide.As an independent company, its core values are grounded in: Exceptional creation and client experience Nurturing human potential Having a positive impact - on people, the environment and communities around the world.As part of this, the House promotes arts, culture and creativity, while investing significantly in key areas including research & development, sustainability, and innovation.Chanel is dedicated to creating the conditions for people to perform at their best, building on their strengths and enabling them to benefit from new opportunities. It offers a unique working environment where people are given time to understand the brand, the business, and develop their personal motivations. This means everyone can grow, continue to be inspired and feel included, now and in the future. The company fosters true collaboration and respect for all, grounded in the belief that diversity is essential to the success of the organisation and its people.Chanel remains committed to rewarding people competitively, as well as offering initiatives such as wellbeing programmes, learning and development opportunities, and parental leave for all parents globally.

Data Analyst Department Data Location London Work Type Hybrid (3 days per week in office) The Opportunity This is a high-impact role where the insights you surface and the dashboards you build directly influence how our teams operate and how well we support our patients. Who You Are You have strong SQL skills and can write queries confidently to extract, transform and analyse data You're comfortable with data visualisation tools and understand how to design dashboards that are intuitive and actionable You think carefully about data-what metrics mean, what the data is actually telling you, and how to communicate it clearly You're curious and self-driven, comfortable exploring datasets to uncover insights and answer difficult questions You're a natural communicator who can translate analytical findings into clear, actionable recommendations You collaborate well with both technical and non-technical stakeholders and take ownership end-to-end You're excited about working in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale What You Will Do Translate Data Into Insight Conduct ad-hoc analyses to answer business questions from stakeholders across Operations, Finance, Clinical and Programme teams Identify trends, patterns and anomalies in operational and clinical data that impact service delivery and patient outcomes Present findings in clear, compelling ways that drive decision-making across the organisation Build and Maintain Dashboards & Reports Design and build dashboards in Looker that track key metrics across the business-from programme delivery KPIs to financial performance Develop automated reports that keep stakeholders informed without requiring manual updates Ensure dashboards are accurate, performant and easy to navigate for end users Contribute to Data Quality & Modelling Write clear, optimised SQL to query and manipulate data reliably Collaborate with the Data Engineering team on data modelling, dbt transformations and data governance Identify and escape data quality issues and help ensure consistency across systems Help define and track metrics that matter, ensuring every KPI is well understood and correctly calculated Partner Across Teams Work closely with stakeholders across Operations, Clinical, Finance and Programme Delivery to understand their data needs Communicate complex data concepts in a way that's accessible to non-technical stakeholders Help drive adoption of data-driven thinking and self-serve analytics across the organisation What We Need From You 2-4 years of experience in a data analyst, business analyst or similar analytics role Proficiency in SQL-you can write queries to explore, filter, join and aggregate data reliably Experience with at least one BI/visualisation tool (Looker, Tableau, Power BI, or similar) Familiarity with modern data stacks and tools (BigQuery, Snowflake, PostgreSQL, dbt are all helpful) Strong analytical and problem-solving skills with an eye for detail Excellent communication skills-able to explain complex findings clearly to diverse audiences This is a hybrid role requiring 3 days per week in the office Experience You May Have A degree in a quantitative subject (Statistics, Mathematics, Computer Science, Economics, etc.) Experience in healthcare, public health or regulated industries Exposure to Python or R for data analysis and statistical work Experience working in fast-growing, high-impact environments Familiarity with dbt or other transformation frameworks

apetito Limited is seeking an Operational Reporting Analyst to join the Commercial Finance Team at our National Distribution Centre in Portbury, Bristol. You will enhance our data-driven decision making and support strategic initiatives within warehousing and distribution operations. With strong technical and analytical skills, you will create impactful data visualisations and present insights to stakeholders to shape operational decisions.

Role Summary Responsibilities: Be the data-driven partner the Finance team relies on. Translate business needs into analytics, deliver Power BI dashboards, and define meaningful KPIs across functions to inform decisions Salary: £40,000 to £45,000 per annum (please note that we have established salary bands that are determined by your level of educational attainment to ensure a fair and consistent approach for all applicants, eliminating the need for individual negotiations) Benefits: Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous holiday allowance, private medical insurance, critical illness cover, income protection, full funding for external training, and more Role Type: Full-time, permanent role Start Date: The role will ideally commence in September or October 2026, and you will be asked to state your availability on your application form Application Deadlines: The application deadline for this role is August 3rd, 2026 Location: This role is available in our Global Headquarters in Cambridge About the Role We are looking for a curious, commercially minded Data Analyst to join our Finance and Operations team and play a key role in how data drives decision-making across the business. This is more than a reporting role. It's an opportunity to influence strategy, improve performance, and build scalable data solutions that senior leaders rely on. Key responsibilities: Analyse financial and operational performance to identify trends, risks and opportunities Define, track and evolve KPIs and key financial metrics Communicate insights clearly through strong data story telling Design and Deliver engaging Power BI dashboards and reports to support business decisions Support forecasting, budgeting and scenario modelling through robust, data-led insights You will combine strong analytical thinking with hands on technical expertise, working across tools such as Power BI, Excel, SQL (where relevant) and programming languages like Python or VBA. This includes: Using advanced Excel, Power Query, Power Pivot, automation and scripting to streamline data processes Applying programming skills to automate workflows, deepen analysis and enhance reporting capabilities Building scalable data models and continuously improving processes through automation and optimisation Working closely with Finance and the People team, you'll help transform how data is used to plan, forecast and drive performance across the organisation. A core part of the role will involve: Bringing together data from multiple systems, including from multiple systems, including data via APIs across different ERP platforms Creating a single, reliable source of truth to enable consistent and scalable reporting Driving improvements in governance and automation You'll also have the opportunity to explore emerging technologies, including agentic AI, using intelligent automation and AI driven workflows to further enhance insight and efficiency. This role is ideal for someone who enjoys working across the full data lifecycle and is confident both technically and commercially, from extracting and modelling data through to delivering clear, impactful insights. About Costello Medical Costello Medical has grown organically since our foundation in 2008 to become one of the most established independently owned agencies delivering medical communications and health economic services. We work with a wide range of clients, including the industry's most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017, the Boston Globe's Top Places to Work list in 2025 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: About You Essential requirements for the role are: Degree in a quantitative field (minimum 2:1 or equivalent). We welcome applications from a diverse range of specialisms, including but not limited to; Computer Science, Mathematics, Statistics, Finance, Data Science, Data Analytics A minimum of 2 to 3 years of experience in data analytics work in a finance context Strong Power BI skills, including building and maintaining dashboards/reports Solid finance/FP&A knowledge, including the ability to define and track KPIs and financial metrics Data cleaning, validation, and quality assurance with a focus on data accuracy and reliability Understanding of data governance, security, and privacy best practices Excellent communication and data storytelling, including the ability to be able to present insights to both finance and non-finance audiences Proven cross-functional collaboration and stakeholder management Ability to document data sources, transformations, methodologies, and dashboards; maintain data lineage Strong time management, prioritisation, and ability to work in a fast paced environment Desired requirements for the role are: Experience with a coding tool (e.g Python) for advanced analyses or familiarity with statistical methods Proficient SQL for data extraction, joining sources and shaping datasets Advanced Excel skills (Power Query, Power Pivot) FP&A experience, including budgeting, forecasting, scenario modelling Experience designing robust data models (star/snowflake schemas) and scalable analytics solutions Ability to automate/report scheduling and improve dashboard delivery processes Familiarity with data storytelling frameworks and dashboard usability improvement Experience within the big 4 professional services networks What We Offer Alongside our award-winning company culture, where every team member is celebrated, respected, and has their voice heard, we are proud to offer a comprehensive benefits package that includes: A starting salary of £40,000 to £45,000 per annum, depending on your previous experience, as well as a discretionary profit share bonus paid twice per year. Please note that we have established salary bands to ensure a fair and consistent approach for all applicants, eliminating the need for individual negotiations 25 days' annual leave plus bank and public holidays, as well as a holiday buy and sell scheme Flexible working hours and the chance to work from home for up to half of your working time after passing probation Flexible benefits scheme offering cash payments, additional pension contributions and more Private Medical Insurance which offers comprehensive cover on a "medical history disregard" basis Paid study leave and funding for external qualifications Critical Illness Cover, Income Protection and Life Assurance Paid and unpaid sabbaticals based on length of service Learn more about our full reward package and the other benefits of working for Costello Medical: Hybrid Working Policy: We believe that having face to face time in the office holds many benefits and is central to ensuring that the community we have created, where people have a workplace they belong to and feel part of, is never lost. At the same time, we recognise that homeworking can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments. Therefore, we offer flexible working arrangements that allow our colleagues who have passed probation to work from home up to half their time, measured across a 2 week rolling period. During your probationary period (normally the first 6 months of the role), you will be able to work from home 1 day per week. The Application Process You are required to submit your CV and a cover letter via our online application form. In your cover letter, you must explain why you think you would be suited to the role and why you would like to join Costello Medical, with examples to support both. Your CV should clearly state the dates of all qualifications and grades achieved where applicable. Then, our recruitment process includes a telephone interview, and a technical assessment for you to complete in your own time. If successful, you will be invited to an on site interview. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide: Please note that, whilst we embrace AI to innovate and improve processes, your role may involve working with confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship Dependant on the salary you are offered and due to the Skilled Worker visa regulations, you will only be eligible for visa sponsorship if you meet at least one of the following criteria: You are classified as a New Entrant, which includes applicants who are under the age of 26, currently studying in the UK or a recent graduate in the UK, amongst other qualifying criteria . click apply for full job details

Overview We are looking for an Operational Reporting Analyst to join our Commercial Finance Team based at our National Distribution Centre in Portbury, Bristol. Operational Reporting Analyst will enhance our data-driven decision making capabilities and support strategic initiatives within our warehousing and distribution operations. You'll be instrumental in leveraging data to provide actionable business insight. You will have a track record in pairing strong technical and analytical skills with excellent communication to engage and collaborate with key stakeholders to present insight and ultimately shape operational decisions. You'll ideally have experience in a warehousing, distribution or manufacturing setting. The ability to work with large datasets and creating impactful data visualisation is critical. This role is based on site at least 3 days per week. Due to the location, a driving licence and access to your own transport are essential. Who we are apetito is the UK's leading food supplier to the health and social care sectors serving more than 1,300 care homes, health care and education settings. Our meals are expertly crafted by our dieticians and chefs, and then frozen to lock in the goodness. Wiltshire Farm Foods, our sister company, is the UK's largest ready meal supplier cooking and delivering over 330 different delicious frozen ready meals across the UK. Responsibilities Analyse Produce actionable, accurate and timely reporting that enables the business to focus on key metrics to success Absorb current reporting that exists aiming to improve and streamline them Analyse operational data and performance metrics to identify trends, variances, and areas for improvement Provide actionable insights and recommendations based on data analysis to support strategic business initiatives Collaborate Develop effective working relationships with a wide range of teams across the business You'll work closely with the Warehouse & Distribution teams to understand emerging priorities and how you can support them with data Ability to provide independent and thoughtful challenge to operational teams Able to use data & visualisations to enable storytelling of data to explain the 'why' and not just the 'what' About you Essential: Bachelor's degree in Finance, Data Analytics, Business Administration, or a related field. Proven experience in effective data analysis Advanced Excel user Strong proficiency in building and maintaining dashboards with tools such as Tableau, Power BI, or similar Excellent analytical and a methodical approach to data analysis Strong communication skills, with the ability to present complex data insights to non-technical stakeholders Attention to detail Highly inquisitive with a passion for problem solving Excellent organisational and time management skills Ability to work independently and as part of a team UK driving licence and own transport Desirable: Experience in the warehousing, distribution or manufacturing sectors Advanced degree or certification in data analytics or a related field Passion for understanding emerging AI trends Company Benefits Competitive salary - accredited Living Wage employer 33 days holiday per year, including bank holidays (which are considered a normal working day) Option to purchase up to 5 additional days holiday per year Discretionary annual bonus scheme Pension scheme - employer matched contributions up to 4% Life assurance scheme worth at least 1x annual salary Free meals, snacks and beverages on site Free parking Free turkey or voucher at Christmas apetito perks scheme including salary sacrifice options and retail discounts Our Values As a family-owned business, we take great pride in being a company that makes a real difference and is dedicated to creating outstanding meals to be proud of. We develop a range of products designed to enhance health and well being for all our customers. We are driven by a passion for service and dedicated to feeding some of the UK's most vulnerable people. We proudly support British food and farming, focusing on using the best ethical and sustainable produce in alignment with our goal to reach Net Zero by 2040. Our ethical standards are recognised by the ETI and we are an accredited Living Wage employer. Learn more about apetito's commitment to a more sustainable future. We embrace inclusion, empowering individuals from diverse backgrounds. Our commitment to making a real difference extends to customers, communities, and staff and we're on a mission to build an inclusive workplace where everyone reaches their full potential.

Overview We are looking for an Operational Reporting Analyst to join our Commercial Finance Team based at our National Distribution Centre in Portbury, Bristol. Operational Reporting Analyst will enhance our data-driven decision making capabilities and support strategic initiatives within our warehousing and distribution operations. You'll be instrumental in leveraging data to provide actionable business insight. You will have a track record in pairing strong technical and analytical skills with excellent communication to engage and collaborate with key stakeholders to present insight and ultimately shape operational decisions. You'll ideally have experience in a warehousing, distribution or manufacturing setting. The ability to work with large datasets and creating impactful data visualisation is critical. This role is based on site at least 3 days per week. Due to the location, a driving licence and access to your own transport are essential. Who we are apetito is the UK's leading food supplier to the health and social care sectors serving more than 1,300 care homes, health care and education settings. Our meals are expertly crafted by our dieticians and chefs, and then frozen to lock in the goodness. Wiltshire Farm Foods, our sister company, is the UK's largest ready meal supplier cooking and delivering over 330 different delicious frozen ready meals across the UK. Responsibilities Analyse Produce actionable, accurate and timely reporting that enables the business to focus on key metrics to success Absorb current reporting that exists aiming to improve and streamline them Analyse operational data and performance metrics to identify trends, variances, and areas for improvement Provide actionable insights and recommendations based on data analysis to support strategic business initiatives Collaborate Develop effective working relationships with a wide range of teams across the business You'll work closely with the Warehouse & Distribution teams to understand emerging priorities and how you can support them with data Ability to provide independent and thoughtful challenge to operational teams Able to use data & visualisations to enable storytelling of data to explain the 'why' and not just the 'what' Qualifications/Personal Qualities Essential: Bachelor's degree in Finance, Data Analytics, Business Administration, or a related field. Proven experience in effective data analysis Advanced Excel user Strong proficiency in building and maintaining dashboards with tools such as Tableau, Power BI, or similar Excellent analytical and a methodical approach to data analysis Strong communication skills, with the ability to present complex data insights to non-technical stakeholders Attention to detail Highly inquisitive with a passion for problem solving Excellent organisational and time management skills Ability to work independently and as part of a team UK driving licence and own transport Desirable: Experience in the warehousing, distribution or manufacturing sectors Advanced degree or certification in data analytics or a related field Passion for understanding emerging AI trends Company Benefits Competitive salary - accredited Living Wage employer 33 days holiday per year, including bank holidays (which are considered a normal working day) Option to purchase up to 5 additional days holiday per year Discretionary annual bonus scheme Pension scheme - employer matched contributions up to 4% Life assurance scheme worth at least 1x annual salary Free meals, snacks and beverages on site Free parking Free turkey or voucher at Christmas apetito perks scheme including salary sacrifice options and retail discounts Our Values As a family-owned business, we take great pride in being a company that makes a real difference and is dedicated to creating outstanding meals to be proud of. We develop a range of products designed to enhance health and well-being for all our customers. We are driven by a passion for service and dedicated to feeding some of the UK's most vulnerable people. We proudly support British food and farming, focusing on using the best ethical and sustainable produce in alignment with our goal to reach Net Zero by 2040. Our ethical standards are recognised by the ETI and we are an accredited Living Wage employer. Learn more about apetito's commitment to a more sustainable future. We embrace inclusion, empowering individuals from diverse backgrounds. Our commitment to making a real difference extends to customers, communities, and staff and we're on a mission to build an inclusive workplace where everyone reaches their full potential.

Data Engineer Department: Business Services - IT Employment Type: Permanent Location: Bristol Description We are seeking an experienced, skilled and motivated Fabric Data Engineer to join our growing Data & Insight team within a leading law firm. This role will play a critical part in designing, building, and maintaining modern data solutions using Microsoft Fabric, supporting firm-wide analytics, reporting, and data-driven decision making. You will work closely with the Firm's data architect, data analysts, business stakeholders, reporting teams and other IT teams to deliver robust, scalable data pipelines and models, ensuring high levels of data quality, governance, and performance in a regulated legal environment. The data team are evolving beyond our traditional role as a reporting function to become a strategic enabler of data across the firm. This next phase focuses on leveraging data more broadly to inform decision making, drive business insight, and empower teams with greater autonomy. As part of this transformation, we are building capability to ensure data is not only accessible but actively supports the Firm's strategic objectives and day to day operations. This is an excellent opportunity for a mid level engineer with hands on Fabric experience looking to expand their impact in a professional services setting. Key Responsibilities Design, develop, and maintain data pipelines and workflows in Microsoft Fabric (including Data Factory, Notebook, Lakehouse, and Warehouse components) Migrate existing on premise and cloud based data architecture into modern Fabric equivalents to remediate technical debt Build and optimise data models to support reporting and analytics use cases across legal, finance, people and other operational domains Integrate data from a variety of sources (case management systems, finance systems, CRM platforms and other legal tools) Implement ELT/ETL processes ensuring data quality, consistency, and performance through all medallion architecture layers Collaborate with data analysts and business stakeholders to translate requirements into scalable data solutions Collaborate with data architects to ensure solution scalability and technological appropriateness Apply modern CI/CD techniques to data product delivery Support and enhance the firm's enterprise data architecture ambitions Monitor and troubleshoot pipeline performance, data issues, and system reliability Apply best practices in data governance, security, and compliance, particularly in relation to sensitive legal data Contribute to documentation, standards, and continuous improvement of the data platform Stay up to date with Microsoft Fabric capabilities and recommend enhancements where appropriate Skills, Knowledge and Expertise Essential Hands on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI integration, Notebooks) Proven experience in a data engineering role (typically 2-5 years) Strong SQL skills and experience working with relational and analytical data models Experience building and maintaining data pipelines / ETL or ELT workflows Familiarity with Azure data services and cloud based architectures Understanding of data governance, data quality, and security principles Strong problem solving skills and attention to detail Ability to communicate effectively with both technical and non technical stakeholders Desirable Experience with Python (PySpark) and SQL in Microsoft Fabric notebooks Experience with CI/CD for data pipelines Experience working in a law firm or professional services environment Knowledge of legal systems (e.g. Intapp, Elite 3E, VisualFiles) Understanding of data privacy regulations (e.g. GDPR) Agile, practical and flexible approach to delivery Additional Information As a Disability Confident Scheme employer, we're committed to providing an inclusive and accessible recruitment process. If you need any reasonable adjustments at any stage (including the application, assessment or interview process), please contact in confidence with the vacancy reference in the subject line, and we'll be happy to help.

Data Engineer Department: Business Services - IT Employment Type: Permanent Location: Bristol Description We are seeking an experienced, skilled and motivated Fabric Data Engineer to join our growing Data & Insight team within a leading law firm. This role will play a critical part in designing, building, and maintaining modern data solutions using Microsoft Fabric, supporting firm-wide analytics, reporting, and data-driven decision making. You will work closely with the Firm's data architect, data analysts, business stakeholders, reporting teams and other IT teams to deliver robust, scalable data pipelines and models, ensuring high levels of data quality, governance, and performance in a regulated legal environment. The data team are evolving beyond our traditional role as a reporting function to become a strategic enabler of data across the firm. This next phase focuses on leveraging data more broadly to inform decision making, drive business insight, and empower teams with greater autonomy. As part of this transformation, we are building capability to ensure data is not only accessible but actively supports the Firm's strategic objectives and day to day operations. This is an excellent opportunity for a mid level engineer with hands on Fabric experience looking to expand their impact in a professional services setting. Key Responsibilities Design, develop, and maintain data pipelines and workflows in Microsoft Fabric (including Data Factory, Notebook, Lakehouse, and Warehouse components) Migrate existing on premise and cloud based data architecture into modern Fabric equivalents to remediate technical debt Build and optimise data models to support reporting and analytics use cases across legal, finance, people and other operational domains Integrate data from a variety of sources (case management systems, finance systems, CRM platforms and other legal tools) Implement ELT/ETL processes ensuring data quality, consistency, and performance through all medallion architecture layers Collaborate with data analysts and business stakeholders to translate requirements into scalable data solutions Collaborate with data architects to ensure solution scalability and technological appropriateness Apply modern CI/CD techniques to data product delivery Support and enhance the firm's enterprise data architecture ambitions Monitor and troubleshoot pipeline performance, data issues, and system reliability Apply best practices in data governance, security, and compliance, particularly in relation to sensitive legal data Contribute to documentation, standards, and continuous improvement of the data platform Stay up to date with Microsoft Fabric capabilities and recommend enhancements where appropriate Skills, Knowledge and Expertise Essential Hands on experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Power BI integration, Notebooks) Proven experience in a data engineering role (typically 2-5 years) Strong SQL skills and experience working with relational and analytical data models Experience building and maintaining data pipelines / ETL or ELT workflows Familiarity with Azure data services and cloud based architectures Understanding of data governance, data quality, and security principles Strong problem solving skills and attention to detail Ability to communicate effectively with both technical and non technical stakeholders Desirable Experience with Python (PySpark) and SQL in Microsoft Fabric notebooks Experience with CI/CD for data pipelines Experience working in a law firm or professional services environment Knowledge of legal systems (e.g. Intapp, Elite 3E, VisualFiles) Understanding of data privacy regulations (e.g. GDPR) Agile, practical and flexible approach to delivery Additional Information As a Disability Confident Scheme employer, we're committed to providing an inclusive and accessible recruitment process. If you need any reasonable adjustments at any stage (including the application, assessment or interview process), please contact in confidence with the vacancy reference in the subject line, and we'll be happy to help.

Senior Analyst Business Intelligence - 3PL Order Management and Finance OperationsApplylocations: Woking, United Kingdom: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: ROur team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!# Job Details This role is in support of Cencora's third party logistics service in Europe operating through our Alloga business. Our 3PL division provides specialised logistics services to pharmaceutical and healthcare clients, managing complex supply chains that demand the highest levels of compliance, precision, and innovation. We are accelerating our digital transformation agenda, embedding AI, automation, and data-driven decision-making across every facet of our 3PL operations. Role Purpose We are looking for a dynamic, forward-thinking Senior Analyst to join our 3PL business and act as a catalyst for change. This is not a traditional BA role - you will be at the intersection of logistics operations, technology, and AI-driven innovation, focusing on order management, finance operations, customer services, centred around an ERP. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery of the business case, and drive measurable outcomes across the operation. This role is available on a hybrid basis from either our London or Woking office location. Key Responsibilities Business Analysis & Requirements Elicit, document, and validate business requirements using a range of techniques and AI capabilities. Translate requirements into user stories, functional specifications, and data models suitable for Agile delivery teams. Perform gap analysis and root cause analysis to identify inefficiencies and recommend improvements. Define KPIs, success metrics, and benefits realisation frameworks for all initiatives. Stakeholder Engagement & Change Management Act as the primary liaison for 3PL Customer Services, Order management and Finance teams' Business Process Owners for transformation initiatives. Present findings, business cases, and solution options to senior leadership with clarity and confidence. Support change management activities - training, communications, and adoption tracking, to ensure sustainable implementation. Facilitate cross-functional workshops, sprint reviews, and steering committee meetings. Data & Analytics Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. AI & Digital Acceleration Identify, evaluate, and champion AI/ML and automation opportunities across the programme of work. Partner with internal teams to define requirements, design AI-augmented workflows, and oversee proof-of-concept (PoC) delivery. Stay current with emerging technologies (LLMs, generative AI, computer vision, digital twins, process mining) and assess their applicability to the programmes of work. Drive adoption of low-code/no-code platforms (e.g., Power Apps, Power Automate) to empower operational teams with self-service tooling. Develop and maintain a pipeline of digital innovation initiatives, including from vendors and other third-party suppliers, prioritised by business impact and feasibility Domain Expertise Extensive experience being part of a team developing and implementing innovative technology and operating models across Order management and Finance. Specific technology experience with Microsoft Dynamics 365 Suite. Operational experience within a logistics environment, preferably 3PL environment. Experience within a regulated environment, preferably pharmaceutical sector. Demonstrable experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment. Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence). Qualifications & Competencies Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline. Strategic Thinking & Innovation - Sees the bigger picture and connects emerging technology to business value. Analytical Rigour - Data-driven, detail-oriented, and methodical in problem-solving. Communication & Influence - Articulates ideas clearly, builds consensus, and drives action. Adaptability & Resilience - Thrives in ambiguity, embraces change, and iterates rapidly. Collaboration - Works effectively across functions, levels, and geographies. Results Orientation - Focused on delivering measurable business outcomes.

Senior Analyst Business Intelligence - 3PL Order Management and Finance OperationsApplylocations: Woking, United Kingdom: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: ROur team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!# Job Details This role is in support of Cencora's third party logistics service in Europe operating through our Alloga business. Our 3PL division provides specialised logistics services to pharmaceutical and healthcare clients, managing complex supply chains that demand the highest levels of compliance, precision, and innovation. We are accelerating our digital transformation agenda, embedding AI, automation, and data-driven decision-making across every facet of our 3PL operations. Role Purpose We are looking for a dynamic, forward-thinking Senior Analyst to join our 3PL business and act as a catalyst for change. This is not a traditional BA role - you will be at the intersection of logistics operations, technology, and AI-driven innovation, focusing on order management, finance operations, customer services, centred around an ERP. You will identify opportunities to leverage artificial intelligence, robotic process automation (RPA), predictive analytics, and other digital accelerants to transform how we deliver 3PL services to our clients. You will translate complex business needs into actionable solutions, support delivery of the business case, and drive measurable outcomes across the operation. This role is available on a hybrid basis from either our London or Woking office location. Key Responsibilities Business Analysis & Requirements Elicit, document, and validate business requirements using a range of techniques and AI capabilities. Translate requirements into user stories, functional specifications, and data models suitable for Agile delivery teams. Perform gap analysis and root cause analysis to identify inefficiencies and recommend improvements. Define KPIs, success metrics, and benefits realisation frameworks for all initiatives. Stakeholder Engagement & Change Management Act as the primary liaison for 3PL Customer Services, Order management and Finance teams' Business Process Owners for transformation initiatives. Present findings, business cases, and solution options to senior leadership with clarity and confidence. Support change management activities - training, communications, and adoption tracking, to ensure sustainable implementation. Facilitate cross-functional workshops, sprint reviews, and steering committee meetings. Data & Analytics Build and maintain dashboards and reports (Power BI, Tableau) that provide actionable insights to operations and leadership. Collaborate with data engineering teams to define data requirements for AI/ML model development. Champion a data-driven culture across the 3PL business. AI & Digital Acceleration Identify, evaluate, and champion AI/ML and automation opportunities across the programme of work. Partner with internal teams to define requirements, design AI-augmented workflows, and oversee proof-of-concept (PoC) delivery. Stay current with emerging technologies (LLMs, generative AI, computer vision, digital twins, process mining) and assess their applicability to the programmes of work. Drive adoption of low-code/no-code platforms (e.g., Power Apps, Power Automate) to empower operational teams with self-service tooling. Develop and maintain a pipeline of digital innovation initiatives, including from vendors and other third-party suppliers, prioritised by business impact and feasibility Domain Expertise Extensive experience being part of a team developing and implementing innovative technology and operating models across Order management and Finance. Specific technology experience with Microsoft Dynamics 365 Suite. Operational experience within a logistics environment, preferably 3PL environment. Experience within a regulated environment, preferably pharmaceutical sector. Demonstrable experience identifying and implementing AI, automation, or digital transformation initiatives in an operational environment. Familiarity with Agile/Scrum delivery methodologies and tools (JIRA, Azure DevOps, Confluence). Qualifications & Competencies Bachelor's degree in Business, Supply Chain, Information Systems, Data Science, or a related discipline. Strategic Thinking & Innovation - Sees the bigger picture and connects emerging technology to business value. Analytical Rigour - Data-driven, detail-oriented, and methodical in problem-solving. Communication & Influence - Articulates ideas clearly, builds consensus, and drives action. Adaptability & Resilience - Thrives in ambiguity, embraces change, and iterates rapidly. Collaboration - Works effectively across functions, levels, and geographies. Results Orientation - Focused on delivering measurable business outcomes.

To support the production of regular reporting & requested insights & analytics to enable the Financial Insights Leads, Head of Reporting & Control & businesses in delivering their strategic objectives. Delivery of reporting relating to all aspects of profit & loss and balance sheet to address Business Units, Client, Sector, Region & Legal Entity. This will be achieved through the production of high quality, high impact business reports to agreed standards, formats & timelines. Qualifications Post Graduate DegreeinFinance and Accounting Experience Required : 5 - 7 years experience in Finance & Value Management Experience in producing high quality regular reporting and additional analysis which will include the provision of insight via commentary. This will have allowed the individual to have a deep understanding of key drivers which influence typical management decisions, specifically within the banking or similar industry. Experience within the Financial/Statutory accounting field will have enabled the individual to have a good understanding of the accounting requirements for the functions various types of transactions (Including costs, revenue, balance sheet and liquidity). This will allow the individual to have a broader understanding of relationships between the aforementioned transactions and other items on the Balance Sheet/Income Statement which will enhance the depth of analytical reporting Key Outputs : Attend to the amendment of irregularities found during the audit or risk monitoring process to ensure sufficient controls and standards are implemented and upheld Conduct analytical reviews of the data obtained to predetermined materiality & metrics,. Highlight material variances against budgets, plans and forecasts, and obtain analysis and commentary. Identify exceptions in extraction, aggregation and analytical review process for evaluation at regular feedback sessions Develop commentary that accurately addresses requirements as agreed between the Finance Insights Leads and the Reporting & Control team. Ensure that commentary and insights provided align with the actual data reported on to improve credibility relating to data and commentary. Regularly engage with Reporting & Control Managers to identify areas in which further insight or analysis is required. Ensure all reporting is produced according to agreed requirements in standardised formats Ensure that the correct reporting templates are utilised in the delivery of Financial Insights & Analytics reporting. Identify areas in which standardised templates can be refined to improve clarity and effectiveness of message. Utilise consistent pre-determined materiality in the determination of focus on the level of depth of reporting required. Ensure that all reporting insights and analytics can be tailored to produce a consolidated CIB view. Focus on cost processes through production of cost reports that address Business Unit, Client, Sector, Region & Legal Entity. Perform cost allocations as per the Reporting & Control process