Top Data Analyst Jobs in Manchester

Graduate analyst role rotating across architecture, engineering and DevOps, data science, and AI. The position involves developing software and data-driven solutions, creating technical designs, collaborating with multidisciplinary teams, supporting automated releases, and delivering client projects across multiple sectors. The programme provides mentoring, technical training, capability rotations, and progression toward a Consultant Analyst role.

Analyze complex datasets to generate actionable insights for product optimization, customer engagement, and operational efficiency. Build and automate BI and management reports, develop KPIs, conduct statistical and predictive analyses, and monitor customer behavior across channels. Collaborate with Product, Commercial, Technology, Customer Services, and Operations teams to support data-driven decisions. The role also involves data governance, stakeholder communication, mentoring, continuous improvement, and using AI/ML platforms to enhance analytics capabilities.

Supports accurate people reporting by producing scheduled and ad hoc reports, extracting and cleaning HR data, refreshing dashboards, analyzing workforce insights, auditing HR systems, and assisting with automation and process improvements. The role also handles HRIS and reporting queries, maintains data quality, protects confidential information, and collaborates with stakeholders across the organization.

Analyze internal and external education data for Camden’s Education Commissioning and Inclusion division. Responsibilities include statutory SEN2 returns, calculating education performance indicators, developing dashboards and self-service data products, delivering bespoke analysis for strategic decisions, and collaborating with data engineering and architecture colleagues to develop data infrastructure.

Collects, cleans, analyzes, and models data to support operational, commercial, and product decisions. Maintains data quality, develops dashboards and reports, identifies trends, and presents actionable insights to technical and non-technical stakeholders. Collaborates across business functions on data-driven initiatives and contributes to improved analytical tools, processes, and solutions.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Supports the Complaints Function through data analysis, regulatory and board reporting, Fair Value Assessments, dashboards, and data-triggered root cause analysis. The role collaborates with business stakeholders to resolve data-quality issues, automate processes, improve workflows, and enhance complaints performance. It also contributes to UK, APAC, GIVM, and FCA reporting requirements and broader process-improvement initiatives.

Analyze commercial performance across sales, account management, marketing, partnerships, and markets. Build dashboards and recurring leadership reports, define KPIs, ensure data quality, compare market and channel performance, assess pricing and campaign impact, and support forecasting, target setting, planning, and business decisions.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze complex insurance data to support business decisions, improve data quality, and resolve issues through validation, profiling, reconciliation, and root-cause analysis. Develop SQL queries, create Power BI reports, communicate insights to varied stakeholders, and support data onboarding, workflow automation, risk management, and process optimization. Collaborate with customers, data providers, and internal teams to improve operational efficiency and data lifecycle processes.

Provides actuarial and analytical support for pricing, reserving, due diligence, and portfolio management. Responsibilities include validating and reconciling complex datasets, investigating data discrepancies, transforming data, producing management reports, improving reporting processes, and preparing analytical exhibits. The role collaborates with actuarial, finance, claims, underwriting, and M&A teams while developing technical expertise in insurance and reinsurance analytics.

Own marketing analytics, funnel reporting, dashboards, attribution, cohort analysis, and conversion rate optimization. Analyze customer journeys from acquisition through retention, identify funnel losses, and design and evaluate A/B and multivariate experiments across landing pages, signup, onboarding, and email. Partner with marketing, product, engineering, RevOps, sales, and leadership to improve measurement, define trusted metrics, and translate findings into prioritized growth recommendations.

Develops and improves clinical site payment forecasting models, integrating enrollment, operational, and Medidata Payments data. Produces client-ready financial forecasts and reports, analyzes budget utilization and forecast variances, supports revenue recognition, audit compliance, and final payment reconciliations, and collaborates with Clinical Operations, Revenue Recognition, Project Analysis, and Clinical Payments teams across the study lifecycle.

Lead the development and continuous improvement of the organization’s data governance framework. Drive data ownership, stewardship, quality, metadata management, lineage, classification, and governance controls. Advise stakeholders, support regulatory compliance, contribute to data modeling and source-to-target mapping, assess change impacts, and mentor data governance analysts and stewards. The role also involves stakeholder influence, supplier engagement, root cause analysis, and use of data governance platforms and analytical tools.

Analyze demand, customer, promotional, and supply chain data to identify risks, opportunities, and performance improvements. Build Power BI dashboards, scorecards, and reporting packs; apply predictive analytics and AI-enabled tools; automate reporting; and translate complex analysis into actionable recommendations for Planning, Commercial, Finance, and leadership stakeholders.

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.

Lead analytical projects using large behavioral datasets to support Ofcom’s regulatory, policy, and enforcement work. Build robust, documented processes for data ingestion, cleaning, processing, analysis, and visualization. Produce reproducible statistics and insights, manage project delivery, collaborate with internal teams and external data providers, and contribute to communications market reporting and other research activities.

Supports Workday Financials implementation, UAT, go-live, and post-go-live service stabilization. Investigates data quality issues, processing failures, reconciliation differences, incidents, and interface problems using SQL and diagnostic tools. Provides second-line technical support, root-cause analysis, controlled change and release support, documentation, knowledge transfer, training, and collaboration with Finance, Data, IT, project teams, and third-party suppliers.

Build and enhance AWS QuickSight reporting for Customer Service, create reusable datasets, integrate business data sources, and establish consistent metrics and documentation. The role translates stakeholder needs into dashboards, automates manual reporting, validates data quality, investigates issues, and supports self-service analytics and knowledge transfer during a six-month engagement.

Analyze and validate traffic datasets, develop methodologies for incomplete data, and create dashboards, visualizations, and reports. Evaluate emerging data collection technologies, identify new insights and revenue opportunities from existing data and footage, and support proof-of-concept projects. The role requires collaboration across international teams, clear documentation, strong stakeholder communication, and adherence to data protection protocols.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Leads Gartner thought leadership and client advisory research on data management and AI readiness. Develops market insights, analyzes client challenges, predicts trends, creates research and presentation content, supports sales and conferences, and advises executives. The role also establishes analyst-team viewpoints, reviews content, improves research processes, mentors colleagues, and represents Gartner’s methodology. Requires deep expertise in data architecture, data operations, database and integration practices, and AI-ready data management, with up to 25% travel.

Analyze Gecko browser engine telemetry across Desktop and Android, build leadership dashboards, identify telemetry gaps, develop frameworks to remove bot and hardware noise, and correlate performance metrics with user behavior. The role requires advanced SQL, statistical analysis, data visualization, browser component knowledge, and independent problem solving to translate engineering data into product strategy.

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.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.