Senior Data Analyst - SQL & Python

Datatech

Thatcham, Berkshire

8 months ago

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom

£70,000 – £85,000 pa Hybrid

Senior Data & Machine Learning Engineer

Forward Role Warrington, United Kingdom

£55,000 – £65,000 pa Hybrid

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Senior Product Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom

£65,000 – £80,000 pa Hybrid

Senior Full Stack Engineer (Must be based in UK)

PolyAI London, United Kingdom

£40,000 – £70,000 pa On-site

Posted: 18 Aug 2025 (8 months ago)

Save job

Create job alert

Applications closed

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.

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.