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.

Build and maintain dashboards and management reports, analyze operational and commercial KPIs, integrate data from multiple systems, and investigate data quality issues. Write SQL queries and translate complex analysis into practical insights for senior leaders and cross-functional teams. The role requires managing ambiguous requests, communicating findings clearly, and supporting commercial decision-making across sales, product, operations, marketing, and finance.

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.

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.

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.

Owns accurate, timely regulatory and operational reporting in a regulated insurance environment. The role partners with stakeholders to define requirements, develops and automates reporting processes, applies validation and reconciliation controls, maintains audit trails and data lineage, and supports regulatory queries. It also involves SQL-based data transformation, Excel analysis, Power BI and Databricks usage, Agile delivery, stakeholder communication, and mentoring team members.

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.

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.

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 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 GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

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 Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics 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.

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.

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.

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.

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.