Top Data Analyst Jobs in Manchester

As a Data Analyst, you will analyze data related to supplier performance, maintain relationships with stakeholders, and ensure data accuracy in FM services for Defra.

Perform ad-hoc data extraction and analysis (primarily using SQL), support digital analytics tracking (Google Analytics, Tag Manager), assist BI/reporting deliverables, QA colleagues' code and present insights to technical and non-technical stakeholders across multiple client accounts.

The Commercial Sales & Service Analyst will analyze customer data to identify growth opportunities, enhance sales performance, and provide actionable insights to improve service productivity and organizational outcomes.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Analyze product and user behaviour across multiple data sources to identify trends, diagnose issues, and recommend improvements. Build dashboards and visualisations, track KPIs, support A/B testing and experimentation, and collaborate with product, engineering and analytics teams to improve digital healthcare journeys while maintaining data quality and governance.

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.

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 Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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.

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.

Develop and maintain Power BI dashboards, translate stakeholder needs into reports, support analytics and data preparation, validate data quality, apply BI standards, migrate legacy reports into Power BI, and document datasets and business logic while collaborating with Data Engineering and business stakeholders.

Lead privacy governance and compliance across EMEA & UK. Advise business units on data protection, maintain knowledge of regional laws, develop policies and training, support privacy risk monitoring, eDiscovery and incident remediation, and coordinate privacy requirements for new technologies.

Lead research and forecasting on data center compute technologies, publish evidence-based analysis, advise senior IT leaders, present at conferences, and support sales and client engagement around server virtualization, cloud/hybrid infrastructure, containers, HCI, disaster recovery, and related vendor landscapes.

Lead research and thought leadership on audit data analytics, produce high-value insights and presentations, advise clients and sales, mentor junior analysts, shape research agenda, and drive data-analytics strategy and process improvements within internal audit.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

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.

Manage and improve the marketing database to enable precise audience segmentation and campaign targeting. Build and maintain audience segments, gather marketer requirements, collaborate with marketing and data teams, ensure data quality and GDPR compliance, process incoming lead data, and provide training and support to marketing stakeholders to maximize database utilization and campaign performance.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

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.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

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.