134 jobs found

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: Data Analyst: £30,000 £65,000 Business Intelligence Analyst: £45,000 £80,000 Progression into senior data roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across data analysis, business intelligence, and data-driven roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: Data Analyst: £30,000 £65,000 Business Intelligence Analyst: £45,000 £80,000 Progression into senior data roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across data analysis, business intelligence, and data-driven roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Senior Analytics Engineer Entrust is the new identity standard for the internet. That means we only need an image of your ID and a selfie to prove that you're you. In doing so, we help millions of people connect to the services they need and love more easily, speedily and safely than ever before, whether it's renting a car or opening a bank account. Our vision is to create an open world where identity is the key to access. We've received over $200 million in funding from world-class tech investors including TPG Growth, Microsoft, Salesforce to back our vision. And we're just getting started. We put data at the heart of every decision we make. Our Data & Analytics team enables Entrust to access insights and analytics to drive key decisions leading to our success. In this role, as the Analytics Engineer, you will build data products for a 500+ user community: from operational analysts to C-level, the whole company uses the self service analytics platform to answer critical questions. You will use DBT to transform our data, Snowflake to process and store it as well as Looker to expose this data to end users. You will work on complex and never before explored problems delivering insight on unique datasets. Responsibilities You will enable your stakeholders to make data-driven decisions by surfacing critical data from many different sources in the self-service analytics platform. You will own the end-to-end creation of data products by designing / implementing ELT jobs and building reporting. You will be accountable for the quality, performance and scalability of the self-service analytics platform. You will write high quality code, implement tests and automate when possible. You will be a trusted partner of a diverse group of stakeholders across Product Managers, Commercial and Operational Analysts and Customer Success / Sales Managers. You will propose and implement bespoke analytics solutions to address their business / technical challenges. You will help and educate a diverse group of data users to utilise our tools and data assets and enable self-serve analytics. Requirements You have extensive experience working with data analytics You have advanced knowledge of SQL and make the difference between working SQL and performant SQL You have strong data visualisation skills and can tell data stories utilising BI tools (i.e. Tableau/Looker) You have excellent communication skills and can summarise complex technical issues, and present in a simple way to non-technical audiences You can work with a variety of stakeholders from a wide range of backgrounds and prioritise the work accordingly. You are a self-starter and take the initiative in spotting opportunities and finding ways to solve problems Some experience using python, git, dbt, Looker, Snowflake / Redshift / Big Query is a plus

Rentokil Initial plc is seeking an ambitious Digital Data Executive to join our dynamic Marketing & Innovation (M&I) team. If you thrive on turning data into strategy and driving tangible results across global digital channels, this is your opportunity. What you'll be doing Insight Generation: Identifying, validating, and communicating actionable insights from our vast digital estate to drive traffic and conversion to profitable sales. Reporting & Analysis: Maintaining and generating key monthly analytics reports across all digital marketing KPIs. Data Expertise: Working hands on with SQL to summarise and make data accessible to senior management. Recommendation Development: Liaising with internal and external teams to develop data driven recommendations that inform our digital marketing strategy. Requirements 12+ months of commercial experience with Google Analytics and Google Ads. Basic, hands on SQL skills and experience with Business Intelligence tools (Qlik, Tableau, Power BI, or Google Data Studio). Proven ability to problem solve, work closely with technical teams (SEO, PPC, CRO), and translate complex data into clear, simple presentations and actionable dashboards. Confidence in presenting insights and coaching less technical teams on data interpretation. Knowledge of core digital marketing channels (SEO, PPC) and experience with CRO tools (Fullstory or Hotjar) is a plus. Why join Rentokil Initial We are a global support services company operating in almost 80 countries with a market leading position in Pest Control and Hygiene services. We are a cash generative "people business" committed to continuous innovation and protecting people. Join a high performing digital team of 62 colleagues and make a significant impact on our global growth strategy. Benefits Competitive salary Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging.

Description About the Role The Data Foundation International Strategy team partners closely with leadership across Salesforce's high-growth international businesses - including MuleSoft and Informatica. We act as a central hub for strategic planning, business performance insights, and decision-enabling analytics across our international markets. This is a high-impact, high-visibility individual contributor role that blends strategic thinking with deep technical and analytical work. You'll be at the core of how we turn data into action across our international business - influencing sales strategy, operational efficiency, product growth, and sales motion. This role is well-suited to someone with a strong technical foundation who is excited to grow their career at the intersection of data, AI, and automation, and who wants to apply emerging tools to scale how strategy gets done. What You'll Do Act as the go-to expert on data and analytics for the International business, providing strategic recommendations and insights through compelling, data-driven storytelling to influence key stakeholders across regions Design and build executive-level dashboards and self-serve reporting tools to track KPIs across Data Foundation International, accounting for regional nuances (currency, segment, theatre-level performance) Own the end-to-end development of curated datasets and scalable reporting pipelines in Snowflake and other internal tools (Tableau Prep, Airflow) Identify opportunities to apply AI and automation - including LLM-based workflows, agentic tooling, and AI-assisted analytics - to streamline reporting, surface insights faster, and reduce manual effort in operating rhythms Enable and automate operational rhythms such as QBRs, APMs, G4G, and monthly business reviews by delivering high-quality insights and visuals tailored to international leadership Partner with teams to standardize definitions, metrics, and reporting frameworks for consistency across international markets and with the broader global org Tools & Skills You'll Use Strong technical skill set with advanced proficiency in SQL, visualization (Tableau), automation and scripting (Python, Airflow), and modern data platforms (Snowflake) Hands-on experience (or strong interest) in applying AI and automation tooling - e.g. LLMs, AI copilots, prompt-driven workflows, or agentic systems - to analytics and reporting use cases In-depth knowledge of sales-related datasets and metrics, e.g. ACV, OP, pipegen, account, AOV, commit, G4G, carving, etc., ideally with exposure to international/multi-region reporting considerations Experience managing datasets, building reporting layers, and delivering BI solutions that scale across geographies Ability to translate business questions into structured analysis, and distill complex results into actionable insights through data What We're Looking For 2-3 years of experience in data analytics, business intelligence, or a related technical strategy role Strong technical foundation with a clear interest in developing a career at the intersection of data, AI, and automation Strong business acumen with a passion for data and analytics, ideally with exposure to international or multi-market businesses Proven ability to work cross-functionally and influence without authority across regions and time zones Detail-oriented with the ability to zoom out and think strategically A "get-it-done" attitude with the curiosity to explore emerging tools (especially AI) and continuously improve how the team operates Excellent communication skills and experience presenting to executives

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: Data Analyst: £30,000 £65,000 Business Intelligence Analyst: £45,000 £80,000 Progression into senior data roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across data analysis, business intelligence, and data-driven roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Data Analyst Placement Programme no experience needed From £30,000 to £65,000 per annum Trainee Data Analyst £30,000£65,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in Data Analysis? We are offering a structured pathway into Data Analysis, designed to help you enter the industry with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: Data Analyst: £30,000 £65,000 Business Intelligence Analyst: £45,000 £80,000 Progression into senior data roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across data analysis, business intelligence, and data-driven roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Important: Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request. Apply now to get started. JBRP1_UKTJ

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. What is the opportunity? Intercom's AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are very product focused, working in a team of 50+ ML scientists, engineers, designers and researchers who partner across the company to move to production fast, often shipping to beta within weeks of a successful offline test. We run experiments, use frequentist and Bayesian approaches, and create dashboards to track AI feature success. What will I be doing? Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics ready data platform. Cross functional Collaboration: Partner with AI analysts, ML scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions. Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. Advanced Analytics & Insights: Conduct data analysis and build custom models to support strategic business decisions and performance measurement. Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency. Innovation in Data Infrastructure: Create scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs. Strategic Influence: Work with partner teams to align data collection with long term analytics and feature development goals. About You You write advanced SQL with a preference for well architected data models, optimized query performance, and clearly documented code. You're familiar with the modern data stack; dbt and Snowflake experience are a big plus. You have a growth mindset and eagerness to learn. You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice to have and to make good choices about trade offs. You practice excellent communication skills, tailoring explanations of technical concepts to a variety of audiences. Nice to haves Exposure to Apache Airflow or other DAG frameworks - all of our data workflows and transformations are orchestrated and scheduled with Airflow. Experience in Tableau, Looker, or similar visualization/business intelligence platforms. Experience with operational tools and business systems such as Google Analytics, Marketo, Salesforce, Segment, or Stripe. Familiarity with Python. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Digital Performance Analyst At UNRVLD, performance measurement and digital insight are critical to everything we do. As part of our design and build capability, but also as part of our approach to continuous improvement delivery through ongoing data strategy, Experience Optimisation and AI solutions, we want to support our clients in becoming sophisticated, impactful and mature data driven organisations. We're looking for a Digital Performance Analyst to help us enable advanced, reliable digital measurement across web and app environments, making sure the data is clean, actionable and trusted - so better decisions can be made, faster. You'll work with smart, curious people on complex, high impact client challenges, with space to grow your skills, influence data strategy and shape how organisations use insight to move faster and smarter. If you love solving complex tracking problems, communicating with client teams and stakeholders, working with modern analytics stacks including Google Analytics (GA4), Google Tag Manager (GTM), BigQuery, and SQL, and turning data into meaningful insight, this role is for you. What you'll be doing Configure, implement and optimise tags, triggers and variables in Google Tag Manager (web and app). Design tracking plans, data layers and measurement frameworks aligned to real client business outcomes. Troubleshoot and resolve analytics issues using debugging and validation tools to maintain data quality. Configure GA4 including custom events, enhanced eCommerce, dashboards and cross domain tracking. Build and optimise SQL queries in BigQuery for analysis, reporting and data validation. Explore data to generate insight - supporting experimentation reporting, segmentation, and commercial forecasting. Translate technical findings into clear, actionable recommendations for non technical stakeholders. Begin working with the senior team at UNRVLD to standardise and establish our best practice, non negotiable approach to performance excellence. What does success look like? Strategically aligned data, measurement and insight foundations that elevate our clients' data and insight maturity and capability. Ability to collaborate and distil multidisciplinary insights into a compelling data story that's deeply connected to customer experience, needs and journeys. Be seen as the go to source of analytics and insight knowledge at UNRVLD; demystifying data whilst delivering confidence that UNRVLD output is correct, precise and impactful. Seamless analytics and tagging implementations using GA4 and GTM, delivering accurate, decision ready data. (Experience supporting digital experimentation is a bonus.) Powerful analytics and reporting workflows using BigQuery, SQL, and Looker Studio (or similar) to uncover deeper business insights. Confidently equipping clients and internal teams with documentation, training materials, and clear data journey mapping. What we're looking for Essential 3+ years' hands on experience with Google Analytics (GA4 and UA) and Google Tag Manager (GTM). Strong communication and stakeholder skills - exploring analytics and data principles with clients through workshops, collaboration and definition. Ability to clearly explain technical concepts to non technical audiences. Data visualisation experience with Looker Studio, Power BI or Tableau. Strong troubleshooting and debugging skills for analytics implementations. Desirable Experience using SQL and BigQuery for digital analytics and reporting. Working knowledge of JavaScript, HTML and CSS for custom tagging. Familiarity with privacy, consent management and data regulation (GDPR, CCPA, consent platforms such as OneTrust). Awareness of server side tagging. Qualifications Bachelor's degree in Marketing, Computer Science, Mathematics, or a related field. Google Analytics or Google Tag Manager certifications (desirable). 3+ years' relevant experience in digital analytics, tag management or similar roles. This is a hybrid position, and can be based in any of our UK offices - Manchester, London, Leeds, Cardiff or Belfast. Our commitment to diversity, equality & inclusion: We're an equal opportunities employer who celebrate diversity and are committed to creating an inclusive environment for all employees. We want to ensure that our hiring process is accessible throughout, so, if you need reasonable adjustments for any part of the application and interview process, please contact the talent team at to let us know the nature of your request. We offer: Excellent competitive salary based on your experience. 25 days leave with the opportunity to buy and sell through our trading scheme. Pension scheme. Private Healthcare Insurance via Bupa. 9-day Fortnight - work your hours over 9 days and take the 10th day off. Hybrid working environment with 2 days a week working at one of our vibrant, modern offices located in London, Leeds, Manchester, Cardiff, Belfast and Lithuania. Annual team away days. Employee Assistance programme (EAP). Enhanced Maternity & Paternity. Perkbox benefit - where you have access to over 1,000 perks and discounts to make your money go further. Training and development. Cycle to work scheme. Electric Vehicle scheme. Eyecare vouchers & Annual flu vaccination. Please note that some of these benefits are eligible after completion of successful probation period.

Digital Analyst Department: Data: Analytics Employment Type: Permanent - Full Time Location: London, UK Description About us We're Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients' toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run - standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations-from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world's most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We're all in! That's what gets us out of bed every day. We hope you feel the same. The Role: Digital Analyst We turn data and tech into competitive advantage and social impact for the world's most complex organisations, both public and private. Not every day is the same and you will be able to work on knotty problems at the intersection of digital performance and product analytics turning data into insight, and insight into better products, decisions, and outcomes. Key Responsibilities Use Google Analytics (GA4) and Google Tag Manager to support digital analytics queries, including setting up and validating event tracking across web and product surfaces Perform ad-hoc data extractions and analysis across digital and product data sources using SQL, building analysis-ready tables that answer client and internal queries at pace Analyse product usage data feature adoption, user journeys, retention and churn signals Connect digital acquisition data to product engagement metrics, building the analytical thread from first touchpoint through to long-term user value Support BI and reporting deliverables building and maintaining dashboards in Looker, Tableau or Power BI that serve both digital and product stakeholders Design and evaluate A/B tests and experiments across digital and product surfaces, bringing statistical rigour to decisions that are currently made on instinct Work collaboratively within the analytics team supporting QA of code and analysis outputs, sharing knowledge, and contributing to a culture of high analytical standards Contribute to the team's knowledge management infrastructure, including documentation of analytical approaches and outputs in shared systems Skills, Knowledge and Expertise Good hands on analytics experience across digital and/or product disciplines, with evidence of working across multiple data sources and client or stakeholder environments Strong experience of Google Analytics (GA4) and Google Tag Manager for digital measurement and tracking experience or equivalent also considered Confident SQL skills able to independently query, extract and shape large, unstructured datasets without relying on a data engineer for routine requests Excellent business problem solving skills a track record of developing creative analytical solutions and telling a clear, convincing story with data that drives commercial decisions Strong communication and presentation skills able to translate analytical findings clearly for both technical and non-technical audiences, from engineering teams to senior stakeholders Structured and methodical working practices rigorous about QA, documentation and reproducibility; picks up new tools, data environments and analytical contexts quickly Understanding of commercial context able to connect analytical outputs to business value, and frame recommendations in terms of impact rather than just insight Collaborative team player good interpersonal skills, comfortable supporting colleagues with QA and peer review, and willing to share knowledge openly within the analytics team AI curious and ready to embrace opportunities A growth mindset Nice to have Degree in a numerical or analytical discipline (e.g. Mathematics, Statistics, Economics, Computer Science, Engineering) or equivalent practical experience Experience applying advanced analytics methodologies such as experimentation (A/B testing), forecasting solve business problems Experience with product analytics platforms such as Amplitude, Mixpanel or Heap, including funnel analysis, cohort analysis and retention modelling Experience of implementing CMP tools such as OneTrust, Cookiebot Our culture and benefits Our culture is built on: We raise the bar We look out for each other We embrace our differences We shape a changing world We're all in Our benefits include: Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays) Day off (on or in the week of) your birthday Pension eligibility, up to 5% matched contributions Private healthcare Life assurance Enhanced maternity and enhanced paternity and shared parental leave Cycle to work schemes Gym & retail discounts Regular social events/activities A range of other benefits from our flexible benefits package Equality of Opportunity We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.

Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business. Key Responsibilities Product Ownership Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs. Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders. Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes. Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment. Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR). Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products. Make time bound, accountable decisions on product priorities and trade offs; communicate progress, risks, and challenges proactively to stakeholders. Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity. Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews. Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs. Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management. Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical and non technical audiences. Qualifications Required Qualifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline. 2-4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools - SQL, Python, R, or advanced Excel/VBA - for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data). Ability to translate complex analytical problems into clear business requirements and structured product backlog items. Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams. Comfortable working independently in ambiguous environments with minimal day to day guidance. Preferred Qualifications Progress toward actuarial credentials (CAS or IFoA examinations). Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira. Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required. Benefits Competitive salary & pension scheme Discretionary bonus scheme 25 days annual leave plus ability to purchase 5 additional days Hybrid working options Private Medical cover Employee Share Purchase Plan Life Assurance Subsidised gym membership Comprehensive Learning & development offerings Employee Assistance program Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.

Rentokil Initial plc is seeking an ambitious Digital Data Executive to join our dynamic Marketing & Innovation (M&I) team. If you thrive on turning data into strategy and driving tangible results across global digital channels, this is your opportunity. What you'll be doing: Insight Generation: Identifying, validating, and communicating actionable insights from our vast digital estate to drive traffic and conversion to profitable sales. Reporting & Analysis: Maintaining and generating key monthly analytics reports across all digital marketing KPIs. Data Expertise: Working hands on with SQL summarise and make data accessible to senior management. Recommendation Development: Liaising with internal and external teams to develop data driven recommendations that inform our digital marketing strategy. What you'll bring: Experience: 12+ months of commercial experience with Google Analytics and Google Ads. Technical Skills: Basic, hands on of SQL, experience with Business Intelligence tools (Qlik, Tableau, Power BI, or Google Data Studio). Analytical Mindset: Proven ability to problem solve, work closely with technical teams (SEO, PPC, CRO), and translate complex data into clear, simple presentations and actionable dashboards. Communication: Confident in presenting insights and coaching less technical teams on data interpretation. Digital Understanding: Knowledge of core digital marketing channels (SEO, PPC) and experience with CRO tools (Fullstory or Hotjar) is a plus. Why join Rentokil Initial? We are a global support services company operating in almost 80 countries with a market leading position in Pest Control and Hygiene services. We are a cash generative "people business" committed to continuous innovation and protecting people. Join a high performing digital team of 62 colleagues and make a significant impact on our global growth strategy. Competitive salary Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus 8 bank holidays Employee Assistance Programme Death in service benefit Healthcare Free parking At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything.

BI Reporting Analyst SQL & Qlik Sense UK Inside IR35 Contract I am supporting a key client who is looking for a BI Reporting Analyst to join the team and play a key role in driving data informed decisions across Customer Success, Sales, and Marketing. Contract: Initial 4 month contract (extension highly likely) - Inside IR35 - £290 per day - 2 days per week on site (London). What You'll Do Design and build intuitive, interactive dashboards focused on retention and revenue driving activities Develop and maintain scalable ETL processes to support data integration Leverage SQL and Python to analyze data and automate workflows Support A/B testing initiatives by analyzing experiments and establishing performance baselines Partner with cross functional teams to understand reporting needs and deliver impactful insights Present findings clearly to stakeholders, including senior leadership Ensure data accuracy, integrity, and consistency through strong QA practices What You Bring Strong proficiency in SQL and experience with Tableau, QlikSense, or similar tools Hands on experience with ETL processes and data pipelines Solid understanding of A/B testing and experimentation analysis 3+ years working with call center data and related KPIs 3+ years working with web/digital data and performance metrics Excellent communication skills and a proven ability to translate data into business insights A proactive mindset with strong problem solving abilities Rates depend on experience and client requirements.

Senior Operations Performance Analyst We are recruiting a Senior Analyst with exemplary data modelling and analytical capabilities; coupled with the ability to present and communicate performance trends, root causes of performance variances against KPI's and build detailed and robust data models to highlight improvement initiatives and performance enhancements. We're seeking a technical expert in the application and use of Excel, SQL, Power BI and Power Platforms. Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy devising new reporting strategies to solve problems and drive meaningful insight. My client is offering a flexible hybrid model of 2 days per week onsite in the West Midlands. The base salary is between £48,000 - £50,000 (DOE) + Bonus + Broad Corporate Benefits. Key Role Purpose & Responsibilities Develop and provide detailed analysis and insight into operational performance variances at both macro and micro levels. Conduct detailed performance analysis of both 'cost and service' drivers to identify and recommend performance improvement opportunities. Collaborate with an array of commercial stakeholders to provide bespoke support and insights. Work across multiple departments supporting with all aspects of reporting deliverables - ensuring data integrity and quality are at the highest standards possible. Key Skills & Experience Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills). Appreciation of building machine learning models using techniques such as forecasting, time series analysis and optimisation. Articulate & concise presentation and communication style to simplify complex technical and analytical information to non-technical audiences. Ability to manage conflicting priorities & work to often challenging deadlines to deliver tasks on time with high attention to detail and accuracy. Desirable - exposure to Tableau / Statistical Modelling and Machine Learning. Additional Qualifications Deep experience within a Data and Analytics led Reporting or MI position and will use your advanced analytical skillset to translate data into clear, actionable analytics, and provide insights that help shape operational improvements. Articulate and concise presenter of outputs with ability to "simplify the complex" and assist leadership teams gain valuable insight.