{"id":196589,"date":"2026-01-21T18:12:24","date_gmt":"2026-01-21T18:12:24","guid":{"rendered":"https:\/\/www.harnham.com\/job\/e1aeb1da-8723-4ba1-d23d-08d5948a7341-data-analyst-manchester-greater-manchester-2\/"},"modified":"2026-03-09T21:56:11","modified_gmt":"2026-03-09T21:56:11","slug":"e1aeb1da-8723-4ba1-d23d-08d5948a7341-data-analyst-manchester-greater-manchester","status":"publish","type":"job_listing","link":"https:\/\/www.harnham.com\/job\/e1aeb1da-8723-4ba1-d23d-08d5948a7341-data-analyst-manchester-greater-manchester\/","title":{"rendered":"Data Analyst"},"content":{"rendered":"

To Apply for this Job Click Here<\/a><\/strong><\/h4>\n

Data Analyst – Data Products | Up to \u00a350,000 | Hybrid | Manchester<\/strong><\/p>\n

A leading financial services organisation is building a new Data Products team focused on creating self-service analytics solutions across the business.<\/p>\n

About the Company<\/strong><\/p>\n

This is a well-established financial services organisation with a strong data-driven culture. Following significant investment in data and analytics infrastructure, they are building a dedicated Data Products function to deliver scalable analytics solutions. The organisation values innovation, collaboration, and continuous improvement.<\/p>\n

The Role<\/strong><\/p>\n

As a Data Analyst in the Data Products team, you will build automated analytics solutions that enable self-service across the organisation. You will own end-to-end delivery from requirements gathering through to deployment, working with SQL, Python, and Power BI to create data products that solve business problems at scale.<\/p>\n

Key Responsibilities<\/strong><\/p>\n

Work with stakeholders to understand requirements and translate them into scalable data products. Extract, transform, and model data using SQL and Python. Develop Power BI dashboards and reports that provide actionable insights. Build self-service analytics solutions that enable stakeholders to access data independently. Collaborate with Data Engineering teams to ensure data quality. Drive best practices in data modeling, ETL processes, and dashboard design. Document solutions clearly and support stakeholders with training.<\/p>\n

Essential Skills<\/strong><\/p>\n

2-3 years experience in data analysis, business intelligence, or analytics engineering. Strong SQL skills including complex queries, joins, aggregations, and optimization. Python proficiency for data manipulation and automation. Power BI or Tableau experience including dashboard development. Data modeling experience including dimensional modeling and star schema. ETL and data transformation experience. Stakeholder management skills. Problem-solving mindset with ability to work independently. Strong attention to detail and commitment to data quality.<\/p>\n

Desirable Skills<\/strong><\/p>\n

Financial services, insurance, or regulated industry experience. Agile or fast-paced environment experience. Cloud platforms exposure (Azure or AWS). Version control knowledge (Git). Data governance and quality frameworks experience.<\/p>\n

What’s On Offer<\/strong><\/p>\n

Salary up to \u00a350,000. Hybrid working with 2 days per week in Manchester office. Opportunity to shape a new Data Products function. Work on high-impact projects with visibility across the organisation. Collaborative team environment with strong learning culture. Clear progression opportunities as the team grows. Comprehensive benefits package including pension, life assurance, and healthcare. 25 days annual leave plus bank holidays. Professional development support.<\/p>\n

Interview Process<\/strong><\/p>\n

Stage 1: Initial conversation with Hiring Manager. Stage 2: Technical assessment and panel interview. Stage 3: Final conversation with senior leadership.<\/p>\n

About You<\/strong><\/p>\n

You are a technically strong data professional who enjoys building solutions with real business impact. You are comfortable with SQL and Python, can translate complex data into clear visualizations, and have a product mindset focused on scalability and reusability. You are a strong communicator who can work effectively with stakeholders at all levels.<\/p>\n

For more information or to apply, please get in touch.<\/p>\n

<\/p>\n

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