51 to 75 of 423 Analytics Jobs in Berkshire

practices are fair, competitive, and aligned with our values. Qualifications Your Experience Required Qualifications 5+ years of direct experience in compensation, with a strong background in broad-based compensation, analytics, and program management. Expert-level proficiency in Google Sheets and/or Microsoft Excel, including building complex models, handling large datasets, and advanced formulas Proven analytical and modeling skills with More ❯

and pilot emerging capabilities such as Microsoft Copilot and AI-driven productivity tools. Oversee the operational integrity, performance, and availability of core data platforms and pipelines that support reporting, analytics, and AI readiness across the firm. Collaborate closely with the Data C AI teams to ensure cloud infrastructure supports scalable, secure, and reliable data ingestion, transformation, and delivery. Budgeting & Licensing More ❯

Analytics Manager 📍 London (Hybrid - 2 days in office, Tuesdays required) 💰 Up to £90,000 base salary An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence … institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present insights directly to clients, translating complex data into strategic value Cross-Functional Collaboration : Work with product, commercial, and presales teams to develop tailored solutions Strategic Thinking : Stay ahead of … market trends and customer challenges to guide analytics direction Project Delivery : Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or More ❯

plus - Experience with Native HANA SQL scripting - Experience with operation and support of BW DTO or archiving IQ NLS, and HANA NSE for data volume management. - Experience with Embedded Analytics and CDS Views customization - Experience with Data replication tools like SLT , BODSis a plus More ❯

including pension, healthcare, life insurance, 26 days holiday and 10 further days working from wherever you want in the world amongst others. What You'll Do Joining the Quantitative Analytics & Development team, you will play a role in the development and enhancement of their in-house pricing and risk models. The models are implemented in the Quant Library, which is More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

send a CV ASAP! Next step would be a short telephone call with John Reilly, the recruiter. Please indicate when you’d be available for that. Excel | Pivot Tables | Analytics | Power BI More ❯

next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic dashboards for high-velocity business & artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role More ❯

and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success More ❯

Manage the investigation of corporate data requirements, documenting them according to the required standards, utilising the prescribed methods and tools. Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use. Work closely with data architects and data scientists to determine which data is needed for analysis. More ❯

Manage the investigation of corporate data requirements, documenting them according to the required standards, utilising the prescribed methods and tools. Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use. Work closely with data architects and data scientists to determine which data is needed for analysis. More ❯

Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data More ❯

to AWS, Python, and Snowflake (future stack). Proven ability to manage and mentor engineering teams. Strong background in risk technology or related domains (such as P&L or analytics). Compensation & Working Arrangements Base salary in the range of £165,000–£185,000, with total compensation up to £210,000 (including performance-related bonus). Permanent, full-time role More ❯

manage their finances as a Data Analyst specializing in customer retention. You will play a pivotal role in shaping the future of customer loyalty by transforming reporting, building behavioral analytics, and working across the entire customer lifecycle. Your insights will directly impact strategic decision-making and contribute to the company's continued growth. This is a 12 month hybrid contract More ❯

Software Engineer in the Product Engineering team you will build and evolve a data and content dissemination platform (Web, App, APIs, messaging) and corresponding data pipelines, ensuring that our analytics and trading systems remain at the forefront of financial innovation. You will provide the content of our proprietary investment framework directly to our clients. In order to succeed, you are More ❯

in business, economics, or a technical subject advantageous but not essential. Skills : Excellent prioritisation skills to manage the backlog and focus resources on the most impactful initiatives Strong data analytics skills and knowledge of tools like Jira, PowerBi, Hotjar, GA, etc. Excellent organisational skills to get stuff done in a fast-paced startup environment Advanced understanding of agile methodologies and More ❯

Growth Analytics Manager 📍 Location: London, EC1 💸 Salary: £70,000 – £80,000 + benefits 🏡 Work type: Hybrid, 3 days per week in the office I’m working with a fast-growing global hospitality group that’s redefining modern travel. With several properties across key international cities and airports, they’re expanding quickly, and data is at the heart of their next … stage of growth. They’re now hiring a Growth Analytics Manager to join their central commercial team in London. This is a newly created position designed to modernise how the business uses data across marketing, digital, and revenue. You’ll sit at the intersection of revenue, marketing, and digital, translating data into insight that drives bookings, optimises campaigns, and informs … commercial strategy. Your work will directly support senior leadership and shape data-driven decisions across multiple markets. 🚀 Performance Analytics & Data Strategy This role combines strategic thinking with hands-on delivery. You’ll use data to identify opportunities, improve how we capture and model information, and help build scalable reporting frameworks that bring clarity to business performance. Working closely with the More ❯

seeking an Implementation Consultant to join its London team. The role involves working closely with clients across asset management and financial services to implement API-first data management and analytics solutions. You’ll collaborate with Product and Engineering teams to design, configure, and deliver client-specific integrations and workflows. Key Responsibilities: Manage end-to-end client implementations, from requirements gathering More ❯

patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply More ❯

consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role More ❯

driven solutions that transform decision-making and operational performance. From major banks and asset managers to insurers and fintech disruptors, they help their clients harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly evolving industry. *If you’re looking for an opportunity to shape the future of applied AI in this sector, this More ❯

and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and scalable architecture across regions and environments. Oversee cloud operations and resilience , including usage optimisation, disaster recovery, and data More ❯

and user acceptance testing phases Desirable Skills Workday Pro Certification in HCM, Financials, or PSA Experience with Workday integrations (EIB, Studio, Core Connectors) Knowledge of Workday Extend or Prism Analytics Experience with full lifecycle Workday implementations Understanding of HR, Finance, and Professional Services best practices Previous experience in a consulting or client-facing role Familiarity with Agile/Scrum methodologies More ❯

you will enable data-driven decision-making through well-structured, scalable systems. You should be comfortable operating independently across the full data lifecycle — from ingestion and transformation through to analytics delivery and monitoring. Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python More ❯

new data platform within the Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions. As a More ❯