Senior Data Analyst - SQL & Python

Description

Senior Data Analyst - SQL & Python

Location: West Berkshire - Hybrid working 2 days in the office

Reference: J12993

Salary: Neg up to £60,000 DOE

Note: Full and current UK working rights required for this role

Are you naturally curious and eager to learn, with a drive for self-development? Join a supportive, collaborative team where your inquisitive nature is valued and encouraged.

We're working with a valued and respected client who is looking to grow their analytical team with a Senior Data Analyst

Drive the strategic analysis and interpretation of enterprise data assets, ensuring they align with business objectives and customer needs. Collaborate with the wider Enterprise Data team to deliver high-quality data solutions that support both internal and external customer products.

About the Role

Key Responsibilities

• Liaising with wider Enterprise data team to deliver data products by providing business requirements and technical understanding of data sets
• Act as a key liaison across departments, fostering strong relationships and facilitating knowledge transfer to support the development of research methodologies and operational processes
• Lead technical analysis of complex data sets to assess structure, quality, and usability, providing strategic insights that inform the design and delivery of data-driven products
• Translate business requirements into scalable, repeatable analytical solutions that deliver actionable insights to internal stakeholders and external partners.

Skills

What We're Looking For

• A minimum of 3 years within Data Analysis role with some senior experience
• Advanced SQL: Proven ability to write complex queries, optimise performance, and manipulate large datasets across relational databases.
• Strong Python Proficiency: Skilled in using Python for data analysis, and automation with experience in libraries such as Pandas, NumPy, and SQLAlchemy.
• Data Modelling: Handle and model large amounts of data, create solutions to solve problems and to answer key business questions
• Data Structures: Strong Understanding of Data Structures working with structured and unstructured data, including deep knowledge of data types, schemas, relationships, and normalisation principles.
• Understanding/experience with of motor insurance industry and the automotive industry would be an advantage.