Top Data Analyst Jobs in Manchester

Supports European data governance through data quality assurance, dashboards, scorecards, process documentation, data lineage, metadata management, control testing, issue remediation, and governance reporting. Maintains business glossaries, dictionaries, critical data element records, ownership data, and governance repositories in Collibra. Collaborates with technology, risk, privacy, compliance, stewards, and business partners to implement controls, facilitate workshops, manage workstream plans, and improve governance monitoring and reporting.

Analyze and interpret complex datasets to support business decisions; perform data validation, profiling, reconciliation and root-cause analysis; develop SQL queries and Power BI reports; present insights to stakeholders; support data onboarding, automation/AI initiatives and process improvements to enhance data quality and operational efficiency.

Visualise and analyse maintenance and operational performance across water supply assets and processes. Develop Power BI reports, performance measures, risk visualisations, and automated reporting to identify trends and support mitigation actions. Collaborate with subject matter experts and stakeholders, ensure data ownership and quality, promote cybersecurity and GDPR compliance, and provide insights that drive operational improvements across abstraction, treatment, transmission, pumping, and storage activities.

As a Data Analyst, you will support metrics establishment, implement data products, analyze A/B tests, and drive product improvements through recommendations.

Analyze and integrate multiple data sources, build conformed data models, and create accessible Power BI dashboards and reports. Apply statistical techniques including regression, correlation, and significance testing to generate actionable insights. Clean and transform data using SQL, Python, Power Query, and M, while communicating findings to technical and non-technical stakeholders and recommending emerging visualization technologies.

Investigate and improve the quality of chartering datasets covering vessels, ownership, fixtures, cargo orders, positions, and shipping zones. Use SQL and Python to analyze large datasets, identify inconsistencies, develop validation checks, and investigate root causes. Review AI-parsed fixture data, maintain geographic mappings in QGIS, establish data-quality metrics, and collaborate with Product, Data, Research, Engineering, and AI/ML teams to drive systematic improvements.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

Lead the development and continuous improvement of the company’s data governance framework. Drive data ownership, stewardship, data quality, metadata management, data lineage, classification, and governance controls. Advise stakeholders, lead governance initiatives, support data architecture activities such as modeling and source-to-target mapping, and assess data impacts. Mentor Data Governance Analysts and Data Stewards while supporting regulatory compliance and business outcomes.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

As a Senior Data Analyst, you will analyze consumer journeys, establish product metrics, lead data product design, improve tracking, and influence decisions with data-driven insights while mentoring other analysts.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Serve as Workday security and data subject-matter expert: design and maintain security model, manage data governance and quality, perform audits, support integrations, ensure compliance with privacy and retention requirements, and partner with stakeholders to resolve issues and improve processes globally.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Senior Director Analyst, MDM at Gartner will lead analysis and provide insights to help enterprise leaders succeed with their priorities in business and technology.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Data Analyst will analyze marketing and ecommerce data, build reporting, dashboards, and KPIs, and enhance marketing attribution modeling.