Top Data Analyst Jobs in Manchester

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.

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.

Graduate analysts rotate across Architecture, Engineering and DevOps, Data Science, and AI while delivering data-driven technology solutions for clients. Responsibilities include designing and developing software, supporting AI-enabled solutions, collaborating with multidisciplinary teams, creating technical designs, and working with testing and DevOps specialists on automated releases. The programme provides mentoring, technical training, consulting experience, and exposure to cloud platforms, software engineering, and modern data practices.

Build and improve data products, reporting layers, reusable datasets, and data quality controls supporting Technology planning, funding, and performance decisions. Gather and transform data from multiple sources, resolve inconsistencies, document metrics and processes, support automation, and collaborate with stakeholders to translate business requirements into reliable, actionable information.

Analyze membership and customer data to answer business questions, identify trends and opportunities, and provide actionable recommendations. The role involves sourcing and validating data from multiple systems, producing regular and ad hoc reporting, creating visualizations, and presenting insights to technical and non-technical stakeholders. The analyst will support membership strategy, customer engagement, cross-functional projects, and the wider analytics community through clear storytelling and accurate analysis.

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 complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers and multidisciplinary Agile teams, ensuring data quality and documentation, presenting insights, and supporting UX/UI design within a secure Defence programme.

Analyze, transform, validate, and interpret data from multiple sources to identify trends, risks, and opportunities. Build and maintain KPI reporting infrastructure, dashboards, and ad hoc reports for senior stakeholders. Gather reporting requirements, validate data accuracy, investigate discrepancies, and present actionable insights. The role also supports data governance and ISO 27001 information security compliance.

Analyze customer, market, and operational data to identify trends, risks, and opportunities. Produce reports, dashboards, forecasts, and recommendations for senior stakeholders. Use SQL, SAS, SAS Viya, and modern data tools to manage complex datasets, improve data quality, automate workflows, and support strategic decisions. Collaborate across business, data, and technology teams to improve processes and embed data-led decision-making.

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.

Develop and maintain Power BI dashboards and reports, translate stakeholder requirements into actionable insights, support data preparation and modelling, validate data quality, and help migrate legacy Excel and Tableau reporting. The role collaborates with Data Engineering and business stakeholders, applies BI standards, documents datasets and business logic, and contributes to continuous improvement across reporting and analytics processes.

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.

Supports consumer and market insight projects across THG’s Beauty and Nutrition divisions. Responsibilities include collecting, coding, and analyzing research data; maintaining brand tracking, NPS, and consumer datasets; researching competitors and market trends; preparing reports and presentations; and producing basic survey-data visualizations. The role is designed for a graduate developing skills in market research, consumer behavior, quantitative analysis, and insight generation.

Supports enterprise data governance by administering governance tools, maintaining metadata, lineage, business glossaries, definitions, ownership records, classifications, and data quality controls. Partners with Data Owners, Stewards, Risk, Security, Compliance, and technology teams to manage data issues, support audits, report governance activity, and promote adoption through training and engagement. The role also contributes to governance frameworks, forums, workflows, and continuous improvement across business domains.

Analyze Gecko engine telemetry across desktop and Android to identify data-quality issues, including bot contamination and hardware noise. Build automated dashboards, audit telemetry collection gaps, develop data-sanitization methods, and produce statistical analyses connecting technical performance metrics with user behavior and engagement. Translate complex engineering data into actionable product and budget recommendations for leadership while working independently across Performance, Data, and Product teams.

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.

Leads data governance across product squads by implementing governance frameworks, controls, data dictionaries, catalogues, lineage, and metadata repositories. Advises business and technology leaders, supports regulatory compliance and audit readiness, integrates governance with Snowflake, Dynamics CRM, and Power BI, and promotes data literacy. The role also maintains governance documentation, collaborates with Data Office teams, participates in strategic forums, and mentors junior professionals.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.

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.

Participate in a 24-month rotational engineering analyst program focused on data science. Apply data analysis, profiling, feature engineering, statistical methods, and machine learning to solve business and engineering problems. Build scalable analytical processes, models, and tools using Python, JavaScript, Java, CSS, and related technologies. Collaborate with engineering and business teams to translate data insights into practical recommendations and improve decision-making.

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

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.

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.