51 to 75 of 1,752 Analytics Jobs in London

teams to support investigations, risk assessments, and strategic planning. Maintain databases and ensure data integrity and confidentiality. Qualifications Bachelor's degree in Intelligence Studies, International Relations, Information Technology, Data Analytics, or a related field. 2+ years of experience in intelligence analysis, research, or a similar role. Strong analytical and problem-solving skills. Proficiency in research tools, databases, and Microsoft Office More ❯

forecasting and budgeting activities through data-driven insights. Provide technical expertise on data-related queries and troubleshooting issues. Support the integration of new data sources and technologies into the analytics framework. Profile A successful Data Analyst/PowerBI Specialist should have: Proficiency in SQL and Excel, with familiarity in Python or R being a plus. Experience using data visualisation tools More ❯

Ensure compliance with GDPR and data protection regulations. Train POD staff and managers on system usage and data interpretation. Actively engage in professional development and stay informed on data analytics trends. Promote equality, diversity, and inclusion in all aspects of work. About You and What You Will Bring to the Role Educated to A-level standard with GCSE A -C More ❯

lineage, role-based access, retention, and privacy compliance; maintain accuracy, completeness, and timeliness. Pipelines & Activation: Build scalable, secure, observable pipelines (batch/stream) to share and activate data across analytics, CRM/marketing, and finance. Data Modelling: Implement and optimise warehouse/lake/lakehouse models so complex domains are easy to use and trustworthy. Architecture & Tooling: Select tools and More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

within the team. Qualifications Bachelor's or Master's degree in Computer Science, Finance, Information Systems, or a related field. 5+ years of experience as a data engineer or analytics engineer, with a proven track record in full stack data development (from ingestion to visualization). Strong expertise in Snowflake, including data modeling, warehousing, and performance optimization. Hands-on experience More ❯

CRM and Commerce solutions from leading platforms (Salesforce, Microsoft, Oracle, etc.) based on client needs. Design robust architectures that integrate CRM and commerce solutions with ERP systems, data platforms, analytics tools (Tableau, Power BI), and external systems. Lead large-scale digital transformation projects, ensuring alignment of CRM solutions with ERP, data lakes, cloud infrastructure, and CI/CD frameworks. Work More ❯

in computer science, Data Science, or a related technical field. Experience: Minimum of 10 years of experience in a product management role, with a strong background in data management, analytics, data governance. Skills: Excellent product management skills with a track record of successful delivery of complex technical products. Excellent written and verbal communication Strong leadership skills. Strong analytical and problem More ❯

Our Role The Analytics Manager will be responsible for ensuring all customer, marketing, and wider business customer-level analytics are scoped well, delivered accurately, on time, and to brief. Reporting into the Head of Insight & Analytics, they will be responsible for managing, motivating, and supporting the customer analytics team (currently 3, will be 4 DRs), and ensuring that team outputs … the business. They will also need to work closely with marketing channel owners and business stakeholders across Retail, Property, Merchandising, Product, Digital, and Marketing to advise where data and analytics can help drive ongoing strategy, improve our propositions, and deliver more efficient marketing. The Analytics Manager is expected to be comfortable both being hands-on in DataBricks and Power BI … executing analytics and helping build reporting, as well as communicating with the wider business to scope the right approaches to answering business questions, as well as cascading findings and recommendations. What youll be doing Be custodian of the Customer Data Platform (CDP) and manage data integrity of the data models, which are compiled to support Power BI reporting, as well More ❯

making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst More ❯

translate business requirements into technical solutions Managing application lifecycles, including testing, deployment, change control, and support Creating and maintaining technical documentation, user guides, and training content Supporting reporting and analytics efforts using Power BI , Excel , and SQL Troubleshooting issues across applications, integrations, and data flows Promoting best practices in development, data management, and platform governance Staying current with platform updates More ❯

sales operations Driving incentive compensation, pipeline management, deal desk support, and productivity management Delivering insights through data analysis and operational experience to guide sales strategy Partnering with technology and analytics teams to implement tools, reporting, and automation Supporting both in-house and outsourced sales teams across multiple brands Exploring innovative ways to deliver value, leveraging AI and automation This role More ❯

sales operations Driving incentive compensation, pipeline management, deal desk support, and productivity management Delivering insights through data analysis and operational experience to guide sales strategy Partnering with technology and analytics teams to implement tools, reporting, and automation Supporting both in-house and outsourced sales teams across multiple brands Exploring innovative ways to deliver value, leveraging AI and automation This role More ❯

sales operations Driving incentive compensation, pipeline management, deal desk support, and productivity management Delivering insights through data analysis and operational experience to guide sales strategy Partnering with technology and analytics teams to implement tools, reporting, and automation Supporting both in-house and outsourced sales teams across multiple brands Exploring innovative ways to deliver value, leveraging AI and automation This role More ❯

sales operations Driving incentive compensation, pipeline management, deal desk support, and productivity management Delivering insights through data analysis and operational experience to guide sales strategy Partnering with technology and analytics teams to implement tools, reporting, and automation Supporting both in-house and outsourced sales teams across multiple brands Exploring innovative ways to deliver value, leveraging AI and automation This role More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What We're Looking More ❯

from legacy on-prem systems to a modern Azure-based data platform. Build and manage a team of BI Analysts and Data Engineers. Develop dashboards, reporting tools, and predictive analytics to support business units. Champion data governance, quality, and compliance across the organisation. Act as a trusted advisor to senior leadership, translating data into commercial insight. What We're Looking More ❯

address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management : Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯