Top Data Jobs in London

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Drives Data 360 revenue across UKI public-sector and nonprofit customers through enterprise B2B technology sales. Identifies and qualifies opportunities, conducts technical discovery, develops customer-specific points of view, and presents Salesforce cloud, data, and AI solutions. Collaborates with Salesforce sales and cross-functional teams to align solutions with customer architecture and strategic goals, build lasting relationships, and consistently exceed sales targets.

Own the roadmap, backlog, requirements, delivery, quality, governance, and adoption of publishing data products. Partner with stakeholders, analysts, product owners, data engineering, architecture teams, vendors, and technology providers to deliver reliable data warehouse tables, schemas, pipelines, and analytics capabilities. Translate business needs into Agile technical deliverables, coordinate releases, monitor data quality, and support informed decision-making across Wiley’s global Research business.

Lead business development for InspireXT’s Databricks practice across the UK. Build Databricks ecosystem relationships, develop joint go-to-market initiatives, generate demand, prospect customers, maintain CRM pipelines, and support discovery sessions, proposals, demonstrations, RFPs, and commercial discussions. The role partners with Databricks, marketing, leadership, and delivery teams to create consulting, implementation, and managed services opportunities.

Conduct data governance reviews, assessments, and sign-offs for strategic initiatives. Ensure compliance with Data Minimum Standards, data ownership, quality, metadata, and governance requirements. Represent Data Governance in architecture, Salesforce, and change approval forums; guide project teams through governance checkpoints and required artefacts. Collaborate with delivery, architecture, technology, business, and data stakeholders to promote consistent governance and accountability across initiatives.

Analyze operations demand drivers, build KPI and funnel frameworks, identify cost and efficiency opportunities, and deliver commercially grounded recommendations to senior leadership. Develop Python- and LLM-based automation prototypes, test them with operations data, and partner with product managers and engineers to scale successful solutions into production workflows.

Supports Data Ethics and Legal teams by managing data subject requests, privacy questionnaires, responsible AI controls, playbooks, documentation, reporting, and process improvements. The role coordinates cross-functional projects, maintains knowledge resources and intranet content, develops training materials, and translates legal, regulatory, privacy, and data ethics requirements into practical workflows. It also applies AI and automation to controlled business processes while tracking risks, escalations, turnaround times, and operational performance.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

Build and maintain secure, scalable Azure data pipelines and ETL processes using Python and PySpark. Translate architecture designs into production implementations, curate healthcare and NHS datasets, conduct code reviews, document data mappings, and support governance, security, and compliance standards. Collaborate with researchers, engineers, and stakeholders to deliver reliable, research-ready data assets while challenging assumptions and improving technical designs.

Develop and govern reusable Product BIM content, including Revit families, templates, assemblies, parameters, and configuration structures. Align BIM data with product structures, bills of materials, PLM records, and downstream systems. Establish quality, validation, interoperability, and information standards; coordinate multidisciplinary 3D models; automate repetitive workflows using Dynamo, scripting, and APIs; and support adoption across global BIM, engineering, consultant, and delivery teams.

Analyze campaign and CRM data using SQL and BigQuery, reconcile data sources, investigate discrepancies, and build accurate Power BI dashboards. Present actionable marketing insights and recommendations to stakeholders, explain methodology and limitations, defend findings, and independently make routine analytical decisions while escalating significant blockers.

Leads data-driven journalism and thought leadership for GWI's PR and Communications team. Transforms company data into compelling narratives, media pitches, reports, presentations, podcasts, and bespoke account insights. Partners with Marketing, PR, executives, and Insights teams to support brand positioning, demand generation, and client engagement. Represents GWI at conferences and events as a spokesperson while tracking industry narratives and press trends.

Manage billing cycles, invoice validation, financial reconciliations, ITSM data extraction, service performance reporting, dashboards, KPI definitions, and audit-ready documentation. Investigate discrepancies, analyze trends and data quality, support governance forums, collaborate with finance and service management stakeholders, and improve reporting and billing through standardization and automation.

Leads enterprise-wide data transformation across technology, digital, ERP, governance, and business teams. Responsibilities include establishing data governance, master data, metadata, quality, ownership, stewardship, operating models, controls, and change adoption. The role owns the transformation roadmap, programme governance, ERP data readiness, executive reporting, benefits realization, and transition of capabilities into sustainable business-as-usual operations.

Develop and optimize Supabase’s Data API based on PostgREST. Responsibilities include improving the PostgreSQL driver and performance, developing features, fixing bugs, resolving incidents and escalated support issues, improving observability, and debugging integrations across the Supabase platform. The role requires strong Haskell development, PostgreSQL and SQL expertise, Linux debugging, open-source contribution, and technical user support.

Leads UK data solutions strategy, roadmap, delivery, governance, commercialization, partner onboarding, client enablement, and cross-functional adoption for WPP Media’s Open Intelligence and Private Data Network capabilities.

Build and own Refractal’s data foundation, including a cryptographically signed evidence store, streaming and batch pipelines, data quality and retention controls, compliance reporting datasets, and training and evaluation data. Partner with integrations, data science, and security teams to support regulated customers, ensuring strong provenance, auditability, multi-tenant isolation, data residency, and deletion controls.

Enable Data Product Managers across Asset Management by providing lifecycle guidance, playbooks, working sessions, portfolio visibility, and operating model support. The role drives consistent adoption, resolves delivery blockers, coordinates across platform Product Owners and Transformation teams, and escalates recurring needs to tooling teams. It also supports intake, documentation, maturity assessments, release readiness, dependencies, and multi-phase implementation of data product practices.

Build and improve site reliability practices across the firm by implementing observability, monitoring, alerting, automation, infrastructure, and CI/CD solutions. Partner with engineering teams, support incident response and on-call operations, conduct postmortems, plan disaster recovery, instrument services, and reduce manual operational work through scalable SRE systems.

Own the strategy, roadmap, governance, delivery, and adoption of insurance data products. Partner with underwriting, engineering, architecture, governance, and business stakeholders to prioritize backlogs, define SLAs and KPIs, improve data quality, and deliver measurable outcomes. Lead user engagement, analytics adoption, controls monitoring, change management, and product communications. Manage team members through coaching, performance reviews, objective setting, and hiring support.

Develops data science and machine learning solutions for paid marketing optimization. Responsibilities include creative performance modeling, conversion-lag prediction, value-based bidding, uplift modeling, causal inference, experiment design, and audience optimization. Partners with marketing, MarTech, Applied AI, CRM, and data engineering teams to improve channel ROI, build scalable pipelines, and translate ambiguous business questions into measurable solutions.

Perform hands-on data centre interventions, including equipment inspections, power cycles, cabling checks, KVM connections, media mounting, hardware control activation, and hot-swappable component replacement. The role supports secure customer environments across Sevenoaks and Maidstone, requires day and night shifts, customer communication, basic server and networking knowledge, UK work authorization, driving, and SC clearance eligibility.

Lead delivery and production monitoring of generative AI and data science solutions. Collaborate with product, engineering, and business teams. Build evaluation frameworks for LLM efficacy, dataset quality, and guide product roadmaps. Drive prompt engineering, RAG designs, validation pipelines, and observability for enterprise GenAI deployments.

Design mechanical or electrical systems for high-density AI data centres, from Basis of Design through commissioning and handover. Responsibilities include developing layouts, schematics, calculations, schedules, construction drawings, modular reference designs, and engineering standards; adapting designs to codes and site conditions; managing design changes; and supporting construction, commissioning, and handover across UK and international projects.

Entry-level data analyst role delivering consumer data products, ingesting and wrangling client data, supporting client conversations, and contributing to data science, visualization, automation, image analysis, and generative AI projects. The position includes presenting insights and recommendations to stakeholders while collaborating across sales, account management, and technical teams. Training is provided, with emphasis on problem-solving, detail, communication, organization, and teamwork.