Senior Data Analyst

Overview

Profectus Recruitment 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.This role involves leading the strategic analysis and interpretation of complex datasets to inform the development of data products that influence key business and research outcomes. It is a cross-functional position 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.Base pay range

This range is provided by Profectus Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.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 and 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 .Tools such as

Power BI ,

Alteryx ,

Azure Synapse , or

Azure Fabric .Data modelling methodologies such as

3NF ,

Kimball , or

Data Vault .Seniority level

Mid-Senior levelEmployment type

Full-timeJob function

AnalystIndustriesData Infrastructure and AnalyticsWe are not including boilerplate recruitment messages or job board notices beyond these essentials. If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate ..... full job details .....