26 to 50 of 234 Analytics Jobs in Berkshire

and process mapping. Microsoft App Innovation (Power Platform, Azure DevOps) Azure Cloud Automation & Infrastructure Modernisation (Azure, Infrastructure as Code, Azure Arc, Azure VMware Solution) Microsoft Fabric for unified data analytics (Purview, Fabric, OneLake, PowerBI) Fortinet SASE & Security for secure, scalable networking (NextGen Firewalls, SDWAN, ZTNA) Key Responsibilities: Acquire and then grow a portfolio of mid-market accounts across multiple industries More ❯

leadership, mentoring junior scientists, and shaping client solutions at scale. 🔎 The Role Lead and mentor a small team of junior Data Scientists & Analysts. Deliver advanced machine learning and predictive analytics projects end-to-end. Engage with clients to define problems and build data-driven strategies. Ensure best practices in reproducibility, coding standards, and scalable pipelines. Translate complex insights into actionable 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 ❯

research, trading signals, risk metrics, and performance analytics. Enhance system observability using monitoring tools such as Grafana and Prometheus. Work closely with developers and researchers to enhance post-trade analytics and reporting. Design, build, and maintain CI/CD pipelines for automated builds, testing, and deployments. Automate infrastructure testing and deployment within the CI/CD pipeline. Implement and document More ❯

open to new technologies, regularly exploring AI-driven solutions to elevate team performance and customer impact. Demonstrate a growth mindset, experimenting with AI capabilities—from content generation to predictive analytics—to fuel continuous innovation in their role. Preferred Skills & Competencies: AI Literacy: Demonstrates a solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI tools to enhance More ❯

process mapping, stakeholder workshops, and documentation. Demonstrated awareness of UK and EU regulatory frameworks, including FCA, PRA, GDPR, PSD2/PSD3, and international standards (FATF, Wolfsberg). Data and analytics skills: SQL or query tools, data lineage, data quality assessment, and using data insights to validate rules and measure effectiveness. Technical fluency: APIs, integration patterns, system data flows, and architecture More ❯

Our Client We are working with a leading financial services market data business who are looking for their Lead Lawyer in the 10+PQE level range to join their legal team. This is a strategic, high-impact position offering autonomy and More ❯

ll play a key part in improving customer journeys and driving smarter decision-making. The Candidate Key attributes of a suitable Data Analyst (CRM) : 2+ years’ experience in data analytics or CRM, with proven ability to deliver actionable insights Proficiency in SQL (with Tableau and Python desirable) to analyse and visualise complex data Excellent communication skills, able to present confidently More ❯

LEAD DATA ANALYST - LONDON UP TO £80,000 THE COMPANY We are working with a green tech, PE backed business on a key Analytics hire. THE ROLE The successful Lead Data Analyst responsibilities will include: Lead end-to-end analytical projects across pricing, promotions, and customer segmentation, delivering insights that drive commercial performance. Develop and deploy predictive models to forecast More ❯

regular reports. What Youll Bring A passion for emerging technologies, especially GenAI. Strong analytical and problem-solving skills. Excellent communication and cross-functional collaboration abilities. Experience in operations, data analytics, or technical support. Exposure to AI/ML tools or an eagerness to learn. Why Join IRIS? Youll play a key role in shaping how we use AI to improve More ❯

methodology (e.g. MEDDICC) Engaging with strategic clients across complex, multi-stakeholder deals Collaborating with technical and vendor teams on solution development Scaling sales performance through clear cadence, CRM and analytics What you’ll need: Leadership experience in IT services, MSP or cloud solutions Deep Microsoft Cloud, Data or AI sales expertise Track record managing £1m+ quarterly targets and complex sales 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 ❯

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 ❯

cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or More ❯

to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech. About the role Key responsibilities Collaborate with technical teams to establish Analytics engineers best practices Helping the client migrate from tableau to omni Work with our clients’ teams to address their business challenges, define successful analytics outcomes and develop data models to … address them. Collaborate with data engineers, analytics engineers, and other analytics team members to define the scope and requirements of analytical projects. Stay up to date with the latest technologies and tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering … Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems. Strong communication and collaboration skills, with the ability to work in a team environment. Ability to manage multiple priorities and work effectively. Strong experience with dbt More ❯

innovate and navigate regulatory and governance challenges along the way and work closely alongside other specialist technology teams in IT Consulting such as our CIO Advisory, Cyber and Data Analytics teams as well as our wider Tech Risk teams in Financial Services and Corporates. Our team is committed to helping our clients to develop and deliver key UK public services More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

role is pivotal in maintaining the health of our ServiceNow platform, supporting daily operations, driving the platform’s strategic roadmap, and maximizing the platform’s capabilities particularly in service analytics and work efficiency/automation. The ideal candidate will be proactive, detail-oriented, and capable of working autonomously while collaborating across global teams. Business Analyst/ERP-Administrator (m/ More ❯

rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering More ❯

Closing complex agreements. Assigned quota to be attained through opening new doors and focus primarily on new logo hunting AI Services Digital Engineering services Cloud Services Data Services, Data Analytics, BI & Technology support Business Application Services Pitch to the Chief Information Officer/Chief Technology Officer/Chief Operating Officers/Business Heads, other CXO level to build a broad More ❯