151 to 175 of 367 Analytics Jobs in East London

Manager Location - London 2 days a week IR35: Inside £1000 We’re looking for a Workday Prism & Financials Consultant with a strong finance background and proven expertise in delivering analytics-driven insights through Workday. This is an exciting opportunity to shape the way a forward-thinking organisation harnesses its financial data. Key Responsibilities: Lead and deliver Workday Prism Analytics implementations … ensuring alignment with business goals. Collaborate with business stakeholders to understand financial reporting and analytics requirements . Use Workday Prism to integrate, model, and transform external and internal data for advanced reporting. Build and maintain custom reports, dashboards, and visualisations using Workday Report Writer, Advanced Reporting, and Prism Analytics. Provide guidance on Workday best practices and data governance strategies. Deliver More ❯

by them. Hours: Monday-Friday 8.30am-5.30pm Location: London, Hybrid - travel to our offices would be expected 2-3 days per week Salary: £40,000-£50,000 Responsibilities - Data & Analytics: Monitor key product metrics, analyse user behavior, and generate insights to inform product decisions. - Process Optimisation: Develop and improve operational processes to enhance efficiency and improve user and customer experience. … years of experience in product operations, product management, or a similar role. Bonus points for experience in real estate or PropTech generally. - Strong analytical skills with experience in product analytics desirable (e.g., Mixpanel, Heap, Google Analytics). - Excellent communication and stakeholder management skills. - Experience with Agile methodologies and working with cross-functional teams. - A customer-centric mindset with a strong More ❯

Data Engineer (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Engineer to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, you’ll not only be part of a creative and open work culture focused on innovation and excellence but also … have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world … data quality and integrity. Integrate data management technologies and software tools into existing structures. Create data tools to support sport data modelling, prediction and analytics. Work with data and analytics experts to strive for greater functionality in our data systems. As the selected Data Engineer, your background will include: 3+ years industry experience in a Data Engineer role and a More ❯

traded within the macro business • Build processes for real-time P&L and risk calculations used by portfolio managers • Assist PMs and analysts in creating customized tools utilizing proprietary analytics • Construct and implement macroeconomic data series for analytical and back-testing purposes Qualifications: • Master’s/PhD in Mathematics, Physics, Engineering, or Computational Finance • Proficient in Python and C++, with … focus on writing clean, production-quality code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

Building out product and technical specifications Managing technical operations across Windows and Linux environments Engaging with cloud-based infrastructure (Azure/AWS) Supporting TCA (Transaction Cost Analysis) and performance analytics Collaborating on trade execution workflows Contributing to data analysis using SQL, Python, or R This is not a siloed position — you’ll be at the heart of the action, learning … firm on a steep growth trajectory Work side-by-side with senior stakeholders in a dynamic, learning-rich environment Gain hands-on experience with real trading systems and performance analytics Accelerate your development across technology, product, and trading domains This is an ideal role for someone excited to get under the hood of a sophisticated trading platform, not afraid to More ❯

product strategy to streamline insights and reporting within secure environments. About you: 2+ years in Product Management (bonus if it's in data monetisation, data clean room, data collaboration, analytics, adtech/martech space). Hands-on experience building roadmaps and working in Agile/Scrum environments. Able to prioritise work that drives real user impact and business outcomes. Confident … especially in advertising or martech. Desirable experience Exposure to SQL, BI tools, or Python. Experience collaborating with privacy, legal or audit teams. Working directly with data scientists, engineers or analytics leads. Benefits: 25 days holiday (increasing to 30 days with service) Life assurance 4x salary Enhanced sick pay Generous employer pension contributions Gym subsidy Private medical (family) Matched pension contributions More ❯

will require a blend of technical expertise, strategic thinking, and stakeholder engagement. Key Responsibilities: Strategic Hub Integration Develop user stories and integrate digital tools to enhance strategic cycles. Apply analytics and AI to support data-driven decision-making. Guide users in interpreting data and generating actionable insights. Technical & Strategic Advisory Translate user needs into technical solutions, epics, and developer tasks. … in AI outputs. Agile Delivery Participation Engage in Sprint Planning, Daily Scrums, and Retrospectives. Identify and escalate impediments to the Scrum Master. Training & Stakeholder Engagement Support training in data, analytics, and AI tailored to user needs. Represent AI/Data Science in high-level meetings. Act as a bridge between internal teams and external digital/data organisations. Key Skills … Experience: Background in Data Science, AI, and Analytics . Experience in public sector environments is highly desirable. Comfortable working in agile teams and engaging with senior stakeholders. Able to work flexibly and adapt to evolving project needs. Benefits: Competitive salary and performance-based bonus structure. Join a rapidly expanding start-up where personal growth is a part of our DNA. More ❯

with highly available/high-load web infrastructure e.g. web proxies, reverse proxies ▪ Technical knowledge and breadth of Azure technology services (Identity, Networking, Compute, Storage, Web, Mobile, Containers, Databases, Analytics, AI & Machine learning) ▪ Have excellent written, verbal and presentation skills ▪ Demonstrable risk management knowledge ▪ Keen problem solving skills (Analytical and Creative) ▪Tier 1 Banking Experience ideal, or banking/finance More ❯

they get actioned. That’s where this comes in. A full-service digital performance agency is looking for a Digital Marketing Analyst to join their tight-knit data and analytics team. They’re independent, ambitious, and hands-on, working across a client portfolio that ranges from luxury ecommerce and lead gen to subscription boxes and insurance. This isn’t a … digital agency. The offer Salary: £45,000–£50,000 Bonus scheme (post-probation) Location: Central London office, 2 days a week in-office (flexible) Working with: A small senior analytics team — with progression into mentoring and leadership available Benefits Personal training budget (£300 per year) Wellness cash benefit (£250) Bupa healthcare and Paycare (after one year) Pension scheme (post-probation More ❯

the team cover include: Chief Information Officer CDIO Director of IT Director of Data Project Managers Business Analysts Testing Training IT ops/network/support Network and strategy Analytics Business Intelligence AI Data Science Machine Learning Analytics The Ideal Candidate 1-5 years of Recruitment Experience Contract book at £5k-10k weekly GP Managing multiple runners Self sourcing deals More ❯

support including flights, visa sponsorship, and two weeks of hotel accommodation upon arrival. Innovate with Advanced Tools: Leverage Bloomberg, Barra/Axioma, proprietary quantitative models, and advanced Python-based analytics frameworks to drive sophisticated investment decisions and cutting-edge financial modeling. What You'll Achieve: Architect Strategic Investments: Lead the development of sophisticated investment portfolio strategies across multiple asset classes … markets. Drive Investment Policy Formation: Partner with the CIO to formulate strategic investment approaches that balance growth objectives with appropriate risk parameters. Deliver Critical Market Intelligence: Generate sophisticated risk analytics and performance insights that inform executive decision-making. Cultivate Investment Talent: Mentor team members while fostering a culture of analytical excellence and innovative investment thinking. Ideal Candidate Profile: Required: 10+ More ❯

product features, bringing structured client insights into backlog grooming and prioritisation. Participate in product sprints, retrospectives, and roadmap discussions where appropriate to ensure client needs are represented. Feedback Integration & Analytics Systematically gather and analyse client feedback and usage data to inform product and operational decisions. Work with the product team to identify common patterns, pain points, and enhancement opportunities. Contribute … to internal reporting on client satisfaction, training completion, product usage trends, and success stories. Use analytics and establish/monitor KPIs to measure the outcomes and efficacy of product features and launches, ensuring there is a feedback loop built into the product life cycle.? Stakeholder Communication Liaise closely with internal product, legal, engineering, and executive teams to ensure a seamless More ❯

and technology teams to develop and deploy innovative pricing strategies. Continuously monitor and evaluate model performance, making data-backed improvements as needed. REQUIREMENTS Strong experience in data science, pricing analytics within insurance or fintech industries. Expertise in statistical modelling, machine learning, and data analysis techniques. Proficiency in programming languages such as Python, R, or SQL. HOW TO APPLY Please send More ❯

including Redshift, Airflow, Python, DBT, MongoDB, AWS, Looker, and Docker Strong grasp of best practices in data modelling, transformation, and orchestration Proven ability to build and support both internal analytics solutions and external-facing data products Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development workflows Skilled in using CI/CD pipelines, infrastructure-as-code, and scalable More ❯

Act as a bridge between technology, business units, and leadership, ensuring seamless communication and cross-functional collaboration. Innovation & Technology: Foster a culture of innovation by leveraging AI, automation, and analytics to enhance system capabilities and drive business impact. Team Leadership: Lead and mentor Product Managers, Business Analysts, and Product Owners, promoting Agile best practices and continuous improvement. To be considered More ❯

Experience & Skills Proven experience as a Salesforce Administrator. Salesforce Admin Certification (required); additional certifications (Sales Cloud, Service Cloud, Developer) are a plus. Experience with AI tools such as Einstein Analytics, Tableau CRM, ChatGPT integrations, or similar. Ability to build custom apps, formula fields, workflows, and automate complex processes. Strong analytical and data visualization skills. Comfortable working in a fast-paced More ❯

Ensuring the quality of raw datasets to empower Data Analysts in creating robust data models. Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect). Supporting Data Analytics through the management of DBT, DevOps, and deployment rules. You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team. Experience We're More ❯

other marketing materials for user acquisition, especially through SEO Marketing Campaigns: Assist in organizing online & offline marketing campaigns Business Development: Assist the sales team in technical elements when needed. Analytics & Reporting: Track performance metrics, prepare reports, and recommend improvements for ongoing campaigns. Market Research: Analyze industry trends, competitor activities, and audience insights to inform marketing strategies. Requirements: Currently pursuing a More ❯

systems data integrity, working closely with the HR operations specialists to troubleshoot system issues to identify and rectify data discrepancies, implementing effective solutions Collaborate closely with the HR data analytics team to understand their requirements and ensure seamless access to clean, reliable information for effective analysis Develop and maintain HRIS documentation, including user guides, training materials, and process flows Support More ❯

skilled Customer Insight Analyst to be an integral part of our client’s marketing team. This role is ideal for you if you: Have a keen interest in data analytics within the food delivery and sustainability sector. Are looking to leverage your analytical skills in a dynamic and values-driven environment? Want to play a crucial role in understanding and More ❯

in microservices, serverless frameworks, and containerisation. Data Engineering & Database Coordination Design and manage integration strategies for both relational and non-relational databases. Guide platform schema design to support data analytics and AI/ML readiness. Product & Strategy Contribution Collaborate with product and business stakeholders to align technical decisions with strategic objectives. Act as a technical advisor on features like dynamic More ❯

others effectively to ensure timely and value-added delivery. Preferred Skills Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google’s Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices More ❯

Ongoing Management Phase Manage and optimize CRM system performance across the entire gallery network Develop and implement CRM strategies to enhance customer engagement and retention Create comprehensive reporting and analytics frameworks to measure customer interactions and sales performance Ensure consistent CRM usage and best practices across all gallery locations Provide ongoing training and support to gallery teams nationwide Monitor system More ❯

Monitoring, Media Evaluation, Social Media Comfortable with conducting purposeful conversations and presentations with clients, users, partners, and internal stakeholders SaaS product platforms Business Analysis Product Management | Project Management Data Analytics, a plus Experience working agile/scrum environmens Personal characteristics. Internal networker – comfortable moving (rapidly) between technical, commercial, and client-facing conversations, flexing language accordingly. Problem-solving aptitude. Always demonstrate More ❯

full family healthcare Purpose Establish and scale a single enterprise data backbone for a global retail-investing and pensions platform (~£400 bn AUA), enabling regulatory-grade lineage, real-time analytics, and API-driven product innovation. You will be tasked with the front, middle and back-office solution, defining the interactions, integration and data model transformation. Candidate with no Investment or More ❯