Senior Data Analyst

Profectus have partnered with a market leading client hiring a Senior Data Analyst. The role will be on a hybrid basis, 2 days on-site in Newbury per week required.

You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.

You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment.

Key Responsibilities:

• Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.
• Translate complex business requirements into robust data solutions and modelling frameworks.
• Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
• Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
• Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
• Support delivery of data products through collaborative work with engineering and architecture teams.

Essential Experience & Skills:

• Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
• Strong experience in SQL (writing and optimising complex queries).
• Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).
• Experience working with large datasets, and advanced data modelling techniques.
• Ability to engage with stakeholders and translate their needs into actionable data solutions.
• Solid understanding of data structures, schemas, and normalisation principles.
• Skilled in creating impactful data visualisations and dashboards.
• Familiarity with data quality and governance principles.

Desirable (or trainable) Experience:

• Tools such as Power BI, Alteryx, Azure Synapse, or Azure Fabric.
• Data modelling methodologies such as 3NF, Kimball, or Data Vault.

If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate consideration.