1 to 25 of 232 Remote Analytics Jobs in Central London

of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution), life insurance (AIG, 4x salary), income protection (Legal & General) 🌿 Wellbeing & flexibility More ❯

of Azure cloud platform and consuming API data sources would be beneficial. Qualifications and Certifications Degree in Economics, Statistics, Data Science, or a related discipline. Additional certifications in data analytics or business intelligence (e.g., Microsoft Benefits & ways of working 💰 Financial benefits: Competitive pay, annual bonus, pension (5% employer contribution), life insurance (AIG, 4x salary), income protection (Legal & General) 🌿 Wellbeing & flexibility More ❯

everything businesses need to start, grow, and succeed. Profitable, innovative, and customer-obsessed, we’re on a mission to redefine how modern Job Summary We’re seeking a Senior Analytics Engineer to transform how we leverage data, automate reporting, and unlock actionable insights to drive our business forward. In this role, you’ll work closely with commercial, product, and leadership … to uncover the drivers behind key metrics—identifying trends, anomalies, and the “why” behind our numbers. Integrate new data sources (e.g., Stripe, CRM platforms) into our data warehouse and analytics stack. Present findings through clear charts, written commentary, and actionable recommendations for both technical and non-technical audiences. Partner with stakeholders across commercial, product, and finance teams to answer business … critical questions and enable data-driven decision making. Help develop and evolve our analytics infrastructure, introducing best practices for automation, data quality, and scalable reporting. 📚 What You Bring to the Table 10+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience More ❯

everything businesses need to start, grow, and succeed. Profitable, innovative, and customer-obsessed, we’re on a mission to redefine how modern Job Summary We’re seeking a Senior Analytics Engineer to transform how we leverage data, automate reporting, and unlock actionable insights to drive our business forward. In this role, you’ll work closely with commercial, product, and leadership … to uncover the drivers behind key metrics—identifying trends, anomalies, and the “why” behind our numbers. Integrate new data sources (e.g., Stripe, CRM platforms) into our data warehouse and analytics stack. Present findings through clear charts, written commentary, and actionable recommendations for both technical and non-technical audiences. Partner with stakeholders across commercial, product, and finance teams to answer business … critical questions and enable data-driven decision making. Help develop and evolve our analytics infrastructure, introducing best practices for automation, data quality, and scalable reporting. 📚 What You Bring to the Table 10+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience More ❯

strategies. Required Qualifications & Experience Education Bachelor's or Master's degree in Computer Science, Information Systems, Business, or a related field. Experience 10+ years in BI, data warehousing, and analytics 4+ years in technical or solution architecture roles Strong experience in the banking domain (e.g., commercial, investment, retail banking, regulatory reporting, finance transformation) Insurance sector knowledge is a plus (e.g. More ❯

databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your skills — we’d love to hear from you. 👉 Apply now More ❯

databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your skills — we’d love to hear from you. 👉 Apply now More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with a strong track record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level More ❯

accuracy, consistency, and reliability of data across systems. Document data processes, calculations, and business rules for knowledge sharing. Your Profile Bachelor’s degree in Data Science, Computer Science, Business Analytics, Statistics, or related field (or equivalent experience). Strong proficiency in Power BI, Power Pivot, or SSAS Tabular . Demonstrated expertise in DAX (Data Analysis Expressions) , including filter and row More ❯

at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies More ❯

at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies More ❯

Reed.co.uk is looking for a Senior Product Analyst to join their team in Holborn, London. We’re on the hunt for a Senior Product Analyst to lead our analytics function and help shape the future of Reed.co.uk. This is your chance to set the standard for product measurement, mentor a talented team, and turn data into strategies that transform customer … experience. You’ll be the go-to expert, working hand-in-hand with product and engineering to embed analytics into everything we build. From defining KPIs to running experiments, optimising conversion and delivering insights that drive product strategy, this is a role where your impact will be felt across the business. What you’ll do: Lead and mentor a team … Define frameworks and KPIs that measure product success and guide decision-making across web and mobile Partner with product managers, engineers, and business leaders to shape roadmaps and embed analytics in every stage of development Analyse customer journeys end-to-end, uncovering insights that improve acquisition, engagement, and retention Design, build, and maintain dashboards and visualisations that make insights accessible More ❯

Reed.co.uk is looking for a Senior Product Analyst to join their team in Holborn, London. We’re on the hunt for a Senior Product Analyst to lead our analytics function and help shape the future of Reed.co.uk. This is your chance to set the standard for product measurement, mentor a talented team, and turn data into strategies that transform customer … experience. You’ll be the go-to expert, working hand-in-hand with product and engineering to embed analytics into everything we build. From defining KPIs to running experiments, optimising conversion and delivering insights that drive product strategy, this is a role where your impact will be felt across the business. What you’ll do: Lead and mentor a team … Define frameworks and KPIs that measure product success and guide decision-making across web and mobile Partner with product managers, engineers, and business leaders to shape roadmaps and embed analytics in every stage of development Analyse customer journeys end-to-end, uncovering insights that improve acquisition, engagement, and retention Design, build, and maintain dashboards and visualisations that make insights accessible More ❯

Analytics Manager Location: Central London (Shaftesbury Avenue), hybrid (3 days in office) Salary: £65,000 + 10% bonus + theatre ticket discounts + benefits Join a world-leading live entertainment group as their UK Analytics Manager. In this role, you'll be a key operational lead, managing and mentoring a growing team of three: a BI Developer, a Data Analyst … and a Data Scientist. You'll report to the Director of Analytics and act as the local lead for analytics operations in the UK. What you’ll do: Lead and support a team delivering actionable insights across marketing and CRM functions Translate business needs into technical solutions, collaborating closely with CRM and marketing teams Guide project priorities, career development, and … delivery processes within the team Support stakeholder relationships and help define best practices in analytics delivery Contribute to shaping global analytics strategy with a specific focus on UK impact Tech Stack & Skills: SQL (essential) Python or R (preferred) Strong communication and stakeholder engagement skills Experience managing analysts or scientists in a commercial environment A relevant technical or quantitative degree Why More ❯

Doing Building and optimising data models and pipelines using SQL and Python Working with Snowflake and CRM data to uncover insights that drive strategic decisions Developing BI dashboards and analytics tools to support marketing, admissions, and academic teams Collaborating across departments to improve data accessibility and storytelling Supporting data governance and contributing to a culture of data-driven innovation What More ❯

compliance systems for Marketing IM Develop tools for real-time dashboards, scenario analysis, and risk monitoring (market, credit, operational) Build and maintain APIs, data pipelines, and automation for risk analytics and reporting Implement scalable solutions to monitor risks across inventories, derivatives, FX, and counterparty credit Enhance and integrate commercial off-the-shelf (COTS) risk platforms Collaborate with risk teams to More ❯

maintain a competitive advantage in digital customer experience. Manager product roadmaps and backlogs, define and prioritise product features and defects for the engineering teams. Ensure customer feedback and performance analytics inform iterative product enhancements. Define and maintain core customer experience principles, emphasising accessibility and inclusivity. Collaborate with technology delivery teams to ensure products meet scope, quality, timeline, and budget requirements. More ❯

maintain a competitive advantage in digital customer experience. Manager product roadmaps and backlogs, define and prioritise product features and defects for the engineering teams. Ensure customer feedback and performance analytics inform iterative product enhancements. Define and maintain core customer experience principles, emphasising accessibility and inclusivity. Collaborate with technology delivery teams to ensure products meet scope, quality, timeline, and budget requirements. More ❯

business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key … consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially regarding the analytics layer. Driving adoption of best practices in analytics engineering, including version control, testing, and CI/CD for analytics code. Mentoring and coaching junior analytics and data engineers. Acting as … and scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards More ❯

business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key … consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially regarding the analytics layer. Driving adoption of best practices in analytics engineering, including version control, testing, and CI/CD for analytics code. Mentoring and coaching junior analytics and data engineers. Acting as … and scaling modern data pipelines and transformation workflows (ELT), ideally within a cloud or lakehouse environment. Strong experience with data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards More ❯

/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

with potential for extension. Role & Responsibilities: Strategy & Roadmap – Develop and execute a finance technology transformation plan aligned with business objectives. Technology Leadership – Lead finance system implementations (ERP, EPM, RPA, analytics), with hands-on expertise in D365, Blackline, and Workday Adaptive to deliver cost-effective, efficient solutions. Collaboration – Act as the link between Finance, IT, and business units to ensure compliant More ❯

such as CAC, retention rates, and channel ROI Spot trends, anomalies, and opportunities proactively Enable stakeholders to self-serve data and insights effectively Requirements 5+ years’ experience in data analytics, ideally in marketing, growth, or e-commerce Advanced SQL skills for complex data extraction and manipulation Experience with Snowflake, dbt, and Tableau (or similar visualisation tools) Strong understanding of marketing More ❯