37 jobs found

About The Role We are seeking a Senior Data Engineer with deep expertise in SQL, data modelling, and ETL development, alongside strong experience with modern data platforms and business intelligence tools. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data solutions, including enterprise-grade data warehouses, while ensuring data integrity and enabling advanced analytics across the organisation. This role is suited to an experienced professional who can take ownership of data architecture, mentor junior team members, and drive best practices in data engineering within a collaborative IT environment. Key Responsibilities Design, develop, and maintain robust, scalable ETL/ELT pipelines to integrate data from multiple systems into centralised data platforms. Lead the design, implementation, and ongoing maintenance of data warehouses and data lake architectures. Develop and optimise complex SQL queries, stored procedures, and data models to support reporting, analytics, and operational use cases. Define and enforce data modelling standards (e.g., dimensional modelling, star/snowflake schemas). Collaborate with software engineers, analysts, and business stakeholders to translate requirements into reliable and performant data solutions. Oversee data integration processes, ensuring high performance, reliability, and security across all pipelines. Implement and champion data quality, validation, and governance frameworks. Support and optimise datasets for BI tools such as Power BI, ensuring efficient and scalable reporting solutions. Work closely with IT and Infrastructure teams to design secure, scalable, and cost-effective data environments. Mentor and support junior data engineers, promoting best practices and continuous improvement. About You Preferred Skills Advanced proficiency in SQL (T-SQL or PL/SQL), including performance tuning, indexing strategies, and query optimisation. Strong experience with ETL/ELT tools such as SSIS, Azure Data Factory, or similar. Extensive experience with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL). Proven expertise in data warehouse design, implementation, and maintenance. Strong understanding of data modelling techniques, including dimensional modelling. Hands on experience with cloud data platforms (preferably Azure, though AWS or GCP also valuable). Solid understanding of data governance, data quality, and security best practices. Experience with programming/scripting languages (e.g., Python, .NET, PowerShell) for automation and data processing. Familiarity with BI tools such as Power BI or Phocas. Experience with version control systems (e.g., Git) and modern development practices. Strong analytical thinking and problem solving skills. Excellent communication skills, with the ability to engage both technical and non-technical stakeholders. Ability to work effectively in a hybrid environment (3 days office, 2 days remote). About Us GSF Car Parts is one of the UK's leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 175 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.

Data Analyst page is loaded Data Analystlocations: GB.Whitehaven.Rutherford House: GB.Bristol.The Hub: GB.Manchester.Piccadillytime type: Full timeposted on: Posted Todayjob requisition id: R-155833 Job Description OverviewWe're AtkinsRéalis, a world-leading design, engineering, and project management organization. We connect people, data, and technology to transform the world's infrastructure and energy systems.Our DP&T team consists of over 50 professionals of all disciplines and backgrounds working together to deliver innovative solutions to some of the most challenging and complex problems and projects in the UK's nuclear industry, thanks to our talented people and their diverse thinking, expertise and knowledge. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.To help realise our ambitious growth plans with our existing client base, AtkinsRéalis is looking for an ambitious Data Analyst with a background in data management, process improvement, business analysis, PMO and / or data analysis and reporting. The successful candidate will be an integral part of the team and will work closely with the market operations.Ideally based in our Whitehaven office, you will contribute clients plan, work on key client data, drive innovation in our service delivery, and foster a collaborative working environment with the wider Nuclear and Power industry. Your role Documenting of client requirements for data and reporting and being able to critically challenge the brief where required. Taking the lead on defining data and reporting strategies such as preparing and analysing business data including locating, collecting, profiling, cleansing, extracting, mapping, importing, mining, transforming, validating or modelling from various internal and external data sources. Supporting and looking for ways to improve business intelligence through the design and implementation of new data and reporting solutions, including being comfortable with helping to build digital tools to support our clients (data analysis and implementation). Point of contact for the client throughout the design and development of the new and existing solutions to understand their needs and determine best analytic approach. Responsible for building, maintaining, and improving dashboards, reports, and tools. Regular engagement with the client team members and key stakeholders. Performs statistical analysis of large data sets to better understand trends, relationships between variables, and formulate predictive insights. Looks for ways to streamline improve business intelligence through advanced analytics and automation. About you Excellent communication and presentation skills. Experienced with advanced analytics techniques. Knowledge transfer and documentation. Must have experience with Power BI and Excel additional with Python and R skill is a plus. Must have a clear and analytical approach to problem solving and strong communication skills. Knowledge of any automation platforms like VBA, SQL, Power Query, Power Automate, PowerApps, can be an added advantage. Statistical knowledge of data science (forecasting, prediction, computer vision) and its application. Bachelor's degree/MSc in relevant field e.g., Computer Science/Engineering, Data Science, Statistics, Mathematics etc. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in-house marketing capabilities, creating highly engaging, performance-led content that proves what our products can do and resonates with a passionate, fast-growing community around the brand. From throwing phones off dams to launching category-defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially-minded Data Analyst to join our fast-growing team here in the UK. This is a high-impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision-making across the company. You'll work closely with cross-functional teams (Growth, Product, Marketing, and Leadership), to champion the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast-paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data-driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data-driven decision making. You are not only detail-oriented but also capable of seeing the bigger picture, transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data-driven culture, empowering the organisation through informed decision-making and self-sufficient data management. Key Responsibilities: Conduct comprehensive data analysis to support business decision-making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross-departmental data. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross-department initiatives to drive value. E.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling. Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders while acting as a point of call for data-related questions. ️How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of our data infrastructure at Mous Building high-quality, durable dashboards and data models that improve access to cross-departmental data Proactively identifying and resolving opportunities and inefficiencies Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices Skills requirements: Hard skills: 0-2 years of experience in a data-related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred) Soft skills: Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, with the ability to translate insights clearly for technical, non-technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have: Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high-energy culture. Benefits include: Significant opportunity for growth, ownership, and career progression Competitive salary reflective of experience and impact 30% Friends & Family discount on all Mous products 25 days' holiday + 8 bank holidays 1 month paid leave after 5 years' service Cycle to Work Scheme Charlie HR perks and discounts Regular socials, events, and on-site activities (including an on-site gym) Our Values G et Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.

About Mous We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That's why we're building the go-to brand for products that genuinely deliver. For over 10 years, we've pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we've built world-class in house marketing capabilities, creating highly engaging, performance led content that proves what our products can do and resonates with a passionate, fast growing community around the brand. From throwing phones off dams to launching category defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world. About the Role We're looking for a highly analytical and commercially minded Data Analyst to join our fast growing team in the UK. This is a high impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You'll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision making across the company. You'll work closely with cross functional teams (Growth, Product, Marketing, and Leadership), championing the use of data across the business to identify what's working, what isn't, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast paced environment, and is excited to see the tangible impact of their work on business performance. If you would like to join a collaborative, data driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you! About You As a Data Analyst at Mous, you'll possess a unique blend of commercial prowess, problem solving skills, and a passion for data driven decision making. You are detail oriented, able to see the bigger picture, and adept at transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data driven culture, empowering the organisation through informed decision making and self sufficient data management. Key Responsibilities Conduct comprehensive data analysis to support business decision making, identifying trends, patterns, and insights. Build and refine dynamic dashboards to monitor KPIs, OKRs, and enable cross departmental data access. Proactively identify areas for improvement within the company's processes and systems and implement automated solutions. Lead and support strategic cross department initiatives to drive value (e.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling). Support in building out fundamental data sources, to allow analysis of data from multiple key platforms. Communicate insights and present key findings to relevant stakeholders, acting as a point of call for data related questions. How will success be measured? Delivering clear, actionable insights that directly influence business decision making. Developing a strong understanding of Mous's data infrastructure. Building high quality, durable dashboards and data models that improve access to cross departmental data. Proactively identifying and resolving opportunities and inefficiencies. Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices. Skills requirements Hard skills 0 2 years of experience in a data related role, or relevant higher education/qualifications. A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly. A knack for numbers with the confidence to tackle and interpret large, complex data sets. Experience in SQL, Excel and a dashboarding tool (PowerBI preferred). Soft skills Strong problem solver - never afraid to get stuck into the detail to uncover insights. Strong communication skills, able to translate insights clearly for technical, non technical, and senior stakeholders, while effectively managing both internal teams and external partners. Nice to have Experience with DBT for analytics engineering. Data modelling skills to structure and optimise datasets. Proficiency in Python for data analysis and automation. Familiarity with R for statistical analysis and reporting. Experience working within a D2C or consultancy environment. Our Offer We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high energy culture. Benefits include Significant opportunity for growth, ownership, and career progression. Competitive salary reflective of experience and impact. 30% Friends & Family discount on all Mous products. 25 days' holiday + 8 bank holidays. 1 month paid leave after 5 years' service. Cycle to Work Scheme. Charlie HR perks and discounts. Regular socials, events, and on site activities (including an on site gym). Our Values Get Results - We take accountability, prioritise impact, and push standards higher. Work Together - We collaborate openly, challenge constructively, and learn from each other. Enjoy the Ride - We stay agile, embrace change, and enjoy building something special together. About Our Commitment Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.

About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Role Purpose The Finance Data Analyst / Scientist plays a central role in transforming how Finance, Operations, and Commercial teams leverage data to drive decision making. This hybrid position blends deep financial expertise with advanced analytics, data modelling, and visualisation/presentation capabilities. The role supports both structured reporting and highly analytical, ad hoc problem solving, ensuring that the organisation has accurate, trusted, and forward looking insight. Key Responsibilities Financial & Business Insight: Deliver advanced financial analysis, modelling, and scenario planning. Support FP&A cycles, including budgeting, forecasting, and performance reviews. Translate complex datasets into actionable recommendations for senior leadership. Provide insight across revenue, cost, margin, headcount, and operational KPIs. Support people analysis to ensure we understand our cost base and are able to report/forecast/scenario plan efficiently to a high standard. Advanced Analytics & Data Science: Support the building of predictive, statistical, and machine learning models to support forecasting and performance analysis. Use techniques such as regression modelling, clustering, forecasting algorithms, anomaly detection, and classification. Work with large datasets across Finance, Operations, Commercial, and People/Reward functions. Apply analytical thinking to solve ad hoc and strategic business challenges. Data Visualisation & Automation: Develop robust Power BI dashboards using Power Query, DAX, and strong data modelling practices. Enhance and maintain existing dashboards including financial performance, workforce planning, sales compensation, and operations insight. Build automated data refresh processes and reporting pipelines. Translate business requirements into intuitive, high impact dashboards. Data Interpretation, Mapping & Governance: Validate and map data from core systems including Dynamics 365 Finance, Salesforce, and SaaS billing platforms. Own and maintain finance KPI definitions, ensuring alignment across reporting tools. Embed reconciliation logic, audit requirements, and financial controls within data pipelines. Work closely with Data Engineering to ensure models are scalable, well documented, and governed. Ad Hoc Projects & Cross Functional Partnering: Lead and manage analytical projects spanning FP&A, Commercial, Ops, HR/Reward, and Tech. Support the business with modelling for compensation, sales commissions, workforce analytics, bonus modelling, and scenario analysis. Collaborate with stakeholders to refine project objectives, timelines, and deliverables. Support monthly, quarterly, and annual modelling cycles (e.g., bonus files, salary review models, workforce dashboards). Contribution to Data Strategy: Champion the evolution of finance data architecture and reporting standards. Identify opportunities for automation and operational efficiency. Promote data literacy within Finance and the wider business. Collaborate with the Data Product Manager to define data requirements and analytics priorities. Key Skills & Experience Finance Expertise: ACCA / CIMA / ACA qualified or part qualified strongly preferred. Strong understanding of forecasting, budgeting, cost/margin analysis, financial controls, and month end processes. Experience in FP&A, commercial finance, operational analytics, or similar finance roles. Experience in producing dashboards & recommendation led analysis covering people data/analytics including variable compensation (bonuses/commissions/annual pay reviews). Technical & Analytical Skills: Advanced Power BI skills including DAX, Power Query, M language, and data modelling. Degree in Finance, Economics, Data Science, Mathematics, Engineering, Statistics, or similar. Certifications in analytics, Power BI, SQL, Python, AI/ML, or cloud data platforms are an advantage. Strong SQL skills for querying and transforming data. Experience with Python or R for statistical analysis, modelling, and automation. Familiarity with data lakehouse environments and modern cloud based data platforms. Ability to convert business rules and finance logic into structured data models. Comfort working with APIs, large datasets, and multiple system integrations. Strong PPT/reporting skills and extensive experience in presenting dynamically to senior company leadership level. Proactive in using, testing, and benefiting from AI both in terms of efficiency, but also proactive analysis/improvements to support business growth. Data Science Capability: Predictive modelling and machine learning experience. Familiarity with libraries such as scikit learn, pandas, NumPy, or equivalent. Understanding of model evaluation, feature engineering, and algorithm selection. Soft Skills: Excellent communication skills - able to explain & present complex data clearly to nontechnical audiences and deliver the 'so what' to enable effective decision making. Strong project management, able to juggle multiple priorities and deadlines. High attention to detail and a logical, problem solving mindset. Ability to work independently with minimal guidance and collaborate effectively with cross functional partners. What Success Looks Like in This Role Delivery of high quality, timely insights that drive decision making. Power BI dashboards become trusted sources of truth across the organisation. Predictive and analytical models materially improve forecasting and operational performance. Finance logic and data definitions are consistently applied across systems. Ability to automate and reduce manual reporting to improve accuracy. Strong, productive relationships built across Finance, Research, Ops, Sales, Data Engineering, and HR/Reward. Clear, well documented data models and processes that future prove reporting. Effective handling of ad hoc analytical projects with clarity, structure, and measurable impact. Summary This is a high impact, forward looking role that blends financial acumen with data engineering alignment, analytics capability, and business partnering. It is ideal for someone who enjoys solving ambiguous analytical problems, building scalable dashboards and models, and modernising how Finance uses data. Benefits Competitive salaries, generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times each day. Equal Employment Opportunity Statement Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non merit factor.

SCUK Senior Automation Test AnalystApplylocations: Redhilltime type: Full timeposted on: Posted Todayjob requisition id: ReqSCUK Senior Automation Test AnalystCountry: United KingdomThe purpose of the role is to support the delivery of applications and systems that in turn support SCUK business and customers. This role includes management responsibilities managing day to day work allocation, mentoring and development.The role of the Senior Automation Test Analyst is to implement effective test automation solutions to ensure the quality and reliability of applications and systems prior to their launch into the live environment to ensure they meet the highest standards.They will lead the design, implementation and coordination of automation test strategies, develop and maintain test automation frameworks, and execute comprehensive automated tests to validate software functionality, performance, and security.The Senior Automation Test Analyst's expertise will be crucial in driving continuous integration flows, troubleshooting system issues, and maintaining the highest standards of quality assurance for our products. Please note this role is a hybrid role with at least 3 days a week in the Redhill office. Remote workers will not be considered. Responsibilities will include: In collaboration with the Test Manager, initiate, prioritise, consult on and develop automation goals, strategies and plans to improve efficiency and reduce the need for human intervention. Provide supervisory or managerial support for non-senior automation team members. Create the automation strategy, referencing the architecture and optimising the use of available tools for automation enhancements and improvements. Scheduling automation activities, optimising coverage to reduce risk whist minimising duration Standardising the test automation across IT Experience of the software development and testing lifecycles for Agile and non-Agile methodologies Knowledge of software quality assurance activities, tasks, tools, and techniques; ability to evaluate new or enhanced systems, software packages and software tools to ensure adherence to functionality and quality requirements. Delivering effective testing outcomes; whilst ensuring consistent, high quality and timely project delivery in accordance with the IT project management methodology Create and manage the automation planning activities, ensuring that all are to time, quality and as per agreed standards. Undertake multiple test automation projects in collaboration with product managers, developers and key stakeholders, contributing to the implementation of test automation strategies and plans and provide input into test scripts mapping back to pre-determined acceptance criteria. Design, code and execute moderately complex automation programs and scripts from agreed specifications and subsequent iterations, recording and reporting outcomes in accordance with agreed strategy/plan and timeframes. Mentor and build the automation testing capabilities of the BAU Test Team Review project documentation and interpret requirements to provide test estimations, test conditions and automation opportunities. Evaluates system documentation and user manuals for usability, accuracy, and completeness. Participating in code reviews, providing feedback to developers on code quality, testability, and potential areas for improvement. Create and maintain automated regression test packs ensuring test coverage is adequate Conducting regression testing to ensure that previously identified issues have been resolved and recent changes do not introduce regressions. Design and maintain test data Supports the project manager in developing and executing system test plans. Review, implement and maintain testing standards and documentation following regulatory guidelines and industry best practices. Identify, analyse and document software defects and issues, including steps to reproduce, identify potential root causes and work through to resolution. Discuss test results and ensure issues/problems that arise during test automation are resolved efficiently Ensure current work plans and activities support and are consistent with organisational change initiatives Evaluates automation achievements and adjust future plans accordingly Escalates concerns over competing or conflicting priorities by raising awareness of potential bottlenecks and disruptions to the schedule. Deal with or escalate any identified risks in relation to Santander Consumer risk policies and/or legislative and regulatory guidelines in accordance with the Santander UK group risk framework Undertake out of hours live release testing when required Act as an SME with regards to automation topics Adhering to our commitment to Consumer Duty ensuring we put our customers' needs first and set higher and clearer standards of consumer protection What we're looking for: Experience with programming languages such as Java, Groovy, Python, or JavaScript Familiarity with Selenium WebDriver, and testing frameworks like TestNG, JUnit, or Cucumber Comfortable using Git, and experienced with test management tools like JIRA Proficiency in web application testing Knowledge of SQL/NoSQL databases is desirable Extensive experience of producing and executing UFT/QTP scripts integrated with ALM/Quality Centre is desirable Takes personal ownership of and strives to meet assigned accountability expectations, identifying and reporting issues and risks associated with own work. Leads automation work deliveries ensuring quality and quantity in addition to meeting deadlines. Ensure accurate records are maintained in accordance with company and departmental protocols Applies major tools and techniques associated with the specific methodologies. Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices, and techniques for the delivery of new and enhanced applications is desirable As necessary, participating in Agile ceremonies such as sprint planning, daily stand ups and retrospectives to provide input on testing efforts and progress is desirable Defines key selection and qualifying criteria for projects suitable for agile development. Proven ability to introduce and build a test automation framework from scratch Experience within the financial sector beneficial Experience of manual testing Understanding of fault management and tracking Knowledge of IT quality assurance; ability to utilise a variety of specific technical tools and testing methods to ensure the quality of IT production. Knowledge of software QA and testing tools; ability to use automated tools for performing quality assurance activities on software products throughout the development cycle. BS/MS degree in Computer Science, Engineering, or a strong technical background and Leadership skills Extensive experience in software development or QA automation ISTQB Foundation Course in Software Testing We have a range of benefits available which include: Competitive salary dependent on experience 30 days holiday per annum, plus bank holidays Annual bonus based on personal and company performance Car allowance Private medical cover Generous pension contributions Employee assistance programme Sharesave scheme Gym passes at a reduced rate for 3,000 gyms, leisure centres etc Other things you need to know: The hours for this role are 09:00-17:00 across Monday to Friday Inclusion At Santander we're creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair.At Santander Consumer Finance we have a zero-tolerance approach to discrimination, bullying, harassment (including sexual) or victimisation of any kind. What are the next steps: If you are interested in this role and believe you have the skills, experience, and knowledge then we'd love to hear from you. Please go ahead and click apply which will take you through some questions and allow you to submit your CV and covering letter.

The Opportunity Position Title: Strategy Analyst Job Type: Permanent Location: London (Hybrid Working) Travel: As required Reporting to: Head of Analytics and Economics The Role The post holder will provide analytical support to the Strategy & Innovation function by contributing to the ATI's market modelling, analytics, economics, and decision support capabilities. The role is designed for an early career professional with strong quantitative foundations who is motivated to develop capability across modelling, data science, data engineering, and executive level insight generation. The post holder will also be expected to play a leading role in the deployment of AI toolsets and automation across the ATI. Key Activities and Responsibilities Modelling and analysis: Contribute to updates of ATI market models, including integration of new datasets, parameter assumptions, and maintenance of sensitivity/scenario analyses; ensure clear documentation of methodologies, inputs and caveats. Business intelligence and visualisation: Develop and maintain Power BI datasets and reports (Power Query/M, DAX) using sound dimensional modelling (e.g., star schema) and versioned refresh processes to support decision making by internal and external stakeholders. Data management and quality: Prepare, transform and validate data using SQL and, where appropriate, Python or R; apply coding standards, basic tests, and repository hygiene to ensure reproducibility. Insight communication: Produce concise briefing notes, dashboards and presentations that set out findings, limitations and implications; present analysis to colleagues and contribute to external outputs as required. Continuous improvement: Support the adoption of good practice in modelling governance, BI standards, and (where appropriate) safe, value adding use of AI assisted tooling within ATI guardrails. The Candidate We're seeking a candidate who shares our core values and brings them to life in everything they do. The candidate will need to demonstrate a forward thinking mindset and lead with accountability. They must believe in the power of collaboration for success by working effectively with others to achieve shared goals. Qualifications and Experience Degree (or equivalent professional experience) in Data Science, Computer Science, Statistics, Applied Mathematics, Analytics, or a closely related discipline. Practical experience in Python (pandas) or R, and SQL for data preparation and analysis. Working knowledge of Power BI (Power Query/M and basic DAX) and a clear motivation to develop advanced BI capability. Sound statistics fundamentals (e.g., descriptive statistics, regression/forecasting basics, uncertainty and sensitivity). Ability to communicate analytical findings clearly across a variety of communication modes, including verbally, presentations, and reports. Practical experience using generative AI tools to augment analysis, utilising structured prompting and disciplined validation of outputs. Desirable Attributes Experience with data model design (star/snowflake), Power BI Service (workspaces, permissions, deployment pipelines) and/or Microsoft Fabric. Knowledge of aerospace markets and value chains (e.g., platform families; OE vs. aftermarket/MRO). Exposure to MATLAB or C++ for model prototyping, optimisation or performance critical routines (advantageous but not required). Familiarity with econometrics and time series methods beyond the basics. Awareness of responsible AI and data protection considerations when using AI systems (e.g., governance, transparency, privacy/security). ATI Benefits Competitive salary Hybrid working policy, with daily core hours Attractive pension scheme Bupa Private Medical Insurance EV Scheme Discretionary bonus scheme Life Assurance Perkbox Reward & Recognition Scheme Professional development training Paid membership to one professional body per year 25 days annual leave, plus bank holidays and additional Christmas leave Additional one day of leave upon reaching 3, 5, and 7 years of continuous service Birthday Leave Family friendly leave policies Right to work Candidates must have the right to work in the UK.

Associate Data Visual Analyst - Hybrid, Marlow About the job The Revenue Operations team is seeking an Associate Data Visualization Analyst who will leverage expertise in customer and revenue data to define and execute strategies that enable Sales and other revenue-generating teams to achieve their growth and strategic objectives. This role will focus on designing and delivering innovative analytical solutions, building impactful reports, and developing data-driven insights that guide key business decisions. The ideal candidate will bring a strong blend of business acumen and technical proficiency, with the ability to develop, explore, analyse, and clearly communicate data insights to a business audience. This role will play a pivotal part in advancing our reporting & Insights capabilities, improving data accessibility, and empowering leadership with actionable intelligence to drive performance and growth. The Revenue Operations (RevOps) team serves as the analytical and strategic backbone of our organization. Our department is a collaborative hub where data, analytics, and strategy converge to drive growth. We enable our Sales, Marketing, Customer Success and other key teams and leaders to make confident, data-driven decisions that accelerate revenue performance and operational excellence across the organization. This is an exciting time to join us as we expand our data & reporting capabilities. Our work directly influences revenue strategy, operational efficiency, and business growth which offers a unique opportunity to make a tangible impact. As a Associate Data Visualization Analyst you will: Source, clean, and prepare structured and unstructured data from multiple systems to support reporting, analytics, and decision making across Revenue Operations. Design, develop, and maintain data workflows, ETL processes, and centralized repositories to ensure data accuracy, consistency, and accessibility. Build and manage dashboards, reports, and Insights to provide actionable business outcomes. Take a proactive, consultative approach to analytics by asking the right questions of the data and recommending strategies aligned to business goals. Collaborate cross-functionally with IT, Sales, Marketing, and regional teams to align data definitions, reporting needs, and business objectives. Communicate insights effectively to stakeholders and leadership through clear storytelling, visualization, and presentation of data-driven findings. Adopt automation, process improvement, and operational efficiency through innovative use of technology and data solutions. Support knowledge sharing by documenting processes, mentoring peers, and promoting data governance, quality, and security best practices while aligning with the data team. Required qualifications Bachelor's degree preferably in Business, Computer Science, Information Systems, Marketing, or a related field. 1-3 years of experience in an Associate/Analyst, data, or consulting role supporting business, or Revenue and/or sales operations. Understanding data warehousing concepts, ETL processes, and reporting tools, with proven ability to translate data into actionable insights. Hands on experience with SAS technologies, including SAS 9 and SAS Viya usage and administration; familiarity with Linux environments and coding in python is a plus. Knowledge of industry standards, best practices, and SAS foundation architecture and resources. Proficiency in Microsoft Office and exposure to Power Apps or similar tools preferred. Excellent analytical thinking, problem solving, and communication skills. Demonstrates curiosity, reliability, and collaboration, with a strong interest in data, analytics, and continuous improvement and automation. Additional competencies, knowledge and skills Decision Making - Identifying and understanding problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria, generating and evaluating alternatives, and making timely decisions; taking action that is consistent with available facts and constraints and optimizing probable consequences. Technical / Professional Knowledge and Skills - Having achieved a satisfactory level of technical, functional, and/or professional skill or knowledge in position related areas; keeping up with current developments and trends in areas of expertise; leveraging expert knowledge to accomplish results. Work Standards - Setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self imposing standards of excellence rather than having standards imposed. SAS Programming, SAS Data Management, SQL or use of relevant data cleansing tool experience is a plus. Understanding of fundamental data concepts (table joins, data duplication, Boolean logic, if/then logic) is a plus. Ability to organize and manage multiple projects. Ability to relate technical concepts and data analysis to a business audience. Strong communication skills. Strong interactions and exposure to team members, and key leadership within division. Additional Information: SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law.

SCUK Senior Automation Test AnalystApplylocations: Redhilltime type: Full timeposted on: Posted Todayjob requisition id: ReqSCUK Senior Automation Test AnalystCountry: United KingdomThe purpose of the role is to support the delivery of applications and systems that in turn support SCUK business and customers. This role includes management responsibilities managing day to day work allocation, mentoring and development.The role of the Senior Automation Test Analyst is to implement effective test automation solutions to ensure the quality and reliability of applications and systems prior to their launch into the live environment to ensure they meet the highest standards.They will lead the design, implementation and coordination of automation test strategies, develop and maintain test automation frameworks, and execute comprehensive automated tests to validate software functionality, performance, and security.The Senior Automation Test Analyst's expertise will be crucial in driving continuous integration flows, troubleshooting system issues, and maintaining the highest standards of quality assurance for our products. Please note this role is a hybrid role with at least 3 days a week in the Redhill office. Remote workers will not be considered. Responsibilities will include: In collaboration with the Test Manager, initiate, prioritise, consult on and develop automation goals, strategies and plans to improve efficiency and reduce the need for human intervention. Provide supervisory or managerial support for non-senior automation team members. Create the automation strategy, referencing the architecture and optimising the use of available tools for automation enhancements and improvements. Scheduling automation activities, optimising coverage to reduce risk whist minimising duration Standardising the test automation across IT Experience of the software development and testing lifecycles for Agile and non-Agile methodologies Knowledge of software quality assurance activities, tasks, tools, and techniques; ability to evaluate new or enhanced systems, software packages and software tools to ensure adherence to functionality and quality requirements. Delivering effective testing outcomes; whilst ensuring consistent, high quality and timely project delivery in accordance with the IT project management methodology Create and manage the automation planning activities, ensuring that all are to time, quality and as per agreed standards. Undertake multiple test automation projects in collaboration with product managers, developers and key stakeholders, contributing to the implementation of test automation strategies and plans and provide input into test scripts mapping back to pre-determined acceptance criteria. Design, code and execute moderately complex automation programs and scripts from agreed specifications and subsequent iterations, recording and reporting outcomes in accordance with agreed strategy/plan and timeframes. Mentor and build the automation testing capabilities of the BAU Test Team Review project documentation and interpret requirements to provide test estimations, test conditions and automation opportunities. Evaluates system documentation and user manuals for usability, accuracy, and completeness. Participating in code reviews, providing feedback to developers on code quality, testability, and potential areas for improvement. Create and maintain automated regression test packs ensuring test coverage is adequate Conducting regression testing to ensure that previously identified issues have been resolved and recent changes do not introduce regressions. Design and maintain test data Supports the project manager in developing and executing system test plans. Review, implement and maintain testing standards and documentation following regulatory guidelines and industry best practices. Identify, analyse and document software defects and issues, including steps to reproduce, identify potential root causes and work through to resolution. Discuss test results and ensure issues/problems that arise during test automation are resolved efficiently Ensure current work plans and activities support and are consistent with organisational change initiatives Evaluates automation achievements and adjust future plans accordingly Escalates concerns over competing or conflicting priorities by raising awareness of potential bottlenecks and disruptions to the schedule. Deal with or escalate any identified risks in relation to Santander Consumer risk policies and/or legislative and regulatory guidelines in accordance with the Santander UK group risk framework Undertake out of hours live release testing when required Act as an SME with regards to automation topics Adhering to our commitment to Consumer Duty ensuring we put our customers' needs first and set higher and clearer standards of consumer protection What we're looking for: Experience with programming languages such as Java, Groovy, Python, or JavaScript Familiarity with Selenium WebDriver, and testing frameworks like TestNG, JUnit, or Cucumber Comfortable using Git, and experienced with test management tools like JIRA Proficiency in web application testing Knowledge of SQL/NoSQL databases is desirable Extensive experience of producing and executing UFT/QTP scripts integrated with ALM/Quality Centre is desirable Takes personal ownership of and strives to meet assigned accountability expectations, identifying and reporting issues and risks associated with own work. Leads automation work deliveries ensuring quality and quantity in addition to meeting deadlines. Ensure accurate records are maintained in accordance with company and departmental protocols Applies major tools and techniques associated with the specific methodologies. Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices, and techniques for the delivery of new and enhanced applications is desirable As necessary, participating in Agile ceremonies such as sprint planning, daily stand ups and retrospectives to provide input on testing efforts and progress is desirable Defines key selection and qualifying criteria for projects suitable for agile development. Proven ability to introduce and build a test automation framework from scratch Experience within the financial sector beneficial Experience of manual testing Understanding of fault management and tracking Knowledge of IT quality assurance; ability to utilise a variety of specific technical tools and testing methods to ensure the quality of IT production. Knowledge of software QA and testing tools; ability to use automated tools for performing quality assurance activities on software products throughout the development cycle. BS/MS degree in Computer Science, Engineering, or a strong technical background and Leadership skills Extensive experience in software development or QA automation ISTQB Foundation Course in Software Testing We have a range of benefits available which include: Competitive salary dependent on experience 30 days holiday per annum, plus bank holidays Annual bonus based on personal and company performance Car allowance Private medical cover Generous pension contributions Employee assistance programme Sharesave scheme Gym passes at a reduced rate for 3,000 gyms, leisure centres etc Other things you need to know: The hours for this role are 09:00-17:00 across Monday to Friday Inclusion At Santander we're creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair.At Santander Consumer Finance we have a zero-tolerance approach to discrimination, bullying, harassment (including sexual) or victimisation of any kind. What are the next steps: If you are interested in this role and believe you have the skills, experience, and knowledge then we'd love to hear from you. Please go ahead and click apply which will take you through some questions and allow you to submit your CV and covering letter.