Data Analyst

• Line manage the analytics team, including Analysts and the Analytics Lead, covering 1:1s, objectives, performance and development
• Own intake and prioritisation of data requests from across the business
• Set and meet turnaround SLAs
• Supply accurate and timely reporting, analysis and operational data to Finance, Marketing, Product and Operations
• Partner with Product Managers on feature rollouts, performance tracking and post-launch reviews
• Own analytics-built operational controls, monitoring and MI
• Ensure controls run on time, are documented and remain current
• Allocate analysts across Product, balancing BAU demand against Product requirements
• Work with the Analytics Lead to maintain coding, visualisation and data quality standards
• Prioritise automation and tooling requests and ensure delivered tools are adopted and controlled
• Own hiring, development and performance management for the team
• Foster a culture of quality, collaboration, accountability and continuous improvement
• Support the Analytics Lead's growth as a technical specialist
• Raise risks and capacity constraints early with the Head of Operations

Data Analytics Manager

• Ensure accurate, timely and reliable reporting for customers, site management and the wider business
• Lead the development and implementation of new reporting methods, dashboards and custom applications
• Support business projects and collaborate with network and technical teams to drive adoption of new tools and technologies
• Provide data-driven support to stakeholders, improving reporting processes and maintaining high service standards
• Champion continuous improvement and contribute to the design and implementation of data infrastructure solutions
• Support the M&S site in Daventry by providing management information for customer order fulfilment and informed decision-making

Senior Data Analyst

• Produce actionable trade and investment ideas based on statistically validated signals and market intuition
• Conduct factor, risk premia, and alpha research
• Develop event-driven and catalyst frameworks covering earnings, guidance, corporate actions, index changes, and macroeconomic releases
• Analyze cross-asset linkages and market regimes, including risk-on/off, inflation, rates sensitivity, liquidity, positioning, and flows
• Publish differentiated research insights and participate in discussions with institutional clients
• Provide high-touch service for select institutional clients
• Use Smartkarma’s cloud-based platform to curate and monetize independent investment research

Independent Quantitative Analyst

• Collect, analyse, and work with data to produce meaningful reports, dashboards, data sets, and analysis for consultancy clients
• Build market profiles from granular to macro levels across products, sectors, and regions
• Bring together data from multiple sources to create detailed and verified views of markets
• Manage data inputs, including definitions, data verification, quality checking, data transfer protocols, and update cycles
• Present data and insights accessibly across Word, PowerPoint, datasheets, and interactive dashboards
• Support the specification, testing, and launch of new data-related products
• Contribute to developing data architecture and data-sharing capabilities with clients and European partner companies
• Support the internal business analytics team in developing reporting frameworks and tools
• Work for the Head of Client Analytics across qualitative and quantitative research projects

• Work closely with business and technical stakeholders to understand and document requirements
• Analyse data and translate business requirements into clear technical requirements
• Support data-focused projects and initiatives
• Identify, document and communicate data requirements and processes
• Support delivery teams throughout the project lifecycle
• Facilitate discussions between business and technology teams

Technical Business Analyst – Data

• Embed within client teams to understand workflows and frame business problems as AI problems
• Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments
• Set technical direction and defend architectural decisions to client engineering and security teams
• Establish integrations, access and hosting foundations with client IT
• Prove value in production at small scale and productise and scale successful solutions
• Build a pipeline of new use cases and help clients develop their own capabilities
• Bring on engineers and raise delivery standards through review, pairing and mentoring
• Challenge systems and processes through technical excellence and innovation
• Keep abreast of AI and technology trends

Forward Deployed Engineer – Data & Analytics

• Answer business questions from customers, the Research team, and senior analysts by turning loosely scoped requests into structured analysis, clear findings, and recommendations.
• Transform complex datasets into clear, insight-driven narratives for executive audiences.
• Scope data needs for new analyses, partner with data engineering on pipeline work, and own transformation, analysis, and visualization tasks within a defined scope.
• Maintain high standards for accuracy and clarity.
• Analyze structured and unstructured sources, including survey data, executive interview transcripts, operational datasets, and qualitative research notes.
• Use AI tools, including the internal LLM, to accelerate analysis while validating and refining outputs.
• Collaborate with research, design, and customer-facing teams to understand stakeholder needs and deliver reliable work.
• Identify opportunities for new insights and lines of inquiry as responsibilities grow.

Data & Insights Analyst

• Take ownership of data quality, accuracy and governance across Salesforce and other business systems
• Work with large datasets and use advanced Excel to analyse trends, identify issues and produce meaningful insight
• Analyse sales and commercial data to understand performance, trends, opportunities and areas for improvement
• Produce regular reporting, dashboards and analysis for commercial stakeholders
• Present sales and performance insight directly to the BDE team
• Help commercial teams understand and use data for better decisions
• Investigate data issues and conduct root-cause analysis
• Identify opportunities to improve data processes, quality and reporting
• Work with Salesforce data, reporting and governance
• Use SQL/SOQL to extract and interrogate data
• Support data flows between systems, including APIs, integrations and automated processes
• Work with stakeholders across the business to understand data needs and translate complex information into clear, practical insight

• Design dashboards, compliance metrics, and regulatory reports
• Turn data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers
• Automate end-to-end compliance-related data solutions, governance controls, and workflows
• Analyze large, complex datasets and develop scalable, audit-ready data models
• Translate regulatory and business requests into reports and automated data pipelines using Python, SQL, dbt, and Airflow
• Lead cross-functional projects with analysts, engineers, and compliance teams
• Build and maintain high-quality data pipelines and data sources
• Coordinate client data quality monitoring, identify issues, flag remediations, and ensure timely resolution
• Support ad-hoc data requests for audits, examinations, risk assessments, and business needs
• Deliver clear, data-driven insights that shape compliance direction

Data Analyst – Regulatory Analytics and Reporting

• Lead a small team of analysts embedded in product squads
• Serve as the hands-on analyst for Monetization
• Handle tracking for new features, conversion-funnel experiments, and squad reporting
• Set an example for analytical problem-solving and technical work
• Define and enforce data quality testing across ingestion, transformation, reporting, and anomaly detection
• Move data-quality ownership upstream to teams producing the data
• Own the path from raw event data to curated datasets in the self-service BI tool
• Develop the strategy for how product managers and engineering managers use data in decision-making
• Help the Monetization team optimize conversion and revenue

Data Analyst jobs in United Kingdom

Data Analytics Manager

Senior Data Analyst

Independent Quantitative Analyst

Data Analyst

Technical Business Analyst – Data

Forward Deployed Engineer – Data & Analytics

Data & Insights Analyst

Data & Insights Analyst

Data Analyst – Regulatory Analytics and Reporting

Data Analytics Team Lead