Data Analyst

Oxford
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

£400 per day
6‑month Contract (Umbrella only)
Oxford, Oxfordshire, UK (2 days a week in central Oxford)

Your new company
We are a well‑established national organisation undergoing a significant transformation of our digital, data and information landscape. As part of a major modernisation programme, we are investing in enhanced data capabilities, improved governance practices and a more connected, insight‑driven data environment. This is a rare opportunity to contribute to a mission‑critical programme, supporting the development of a new enterprise‑wide data foundation that will enable better decision‑making and service delivery for colleagues and stakeholders across the UK.

Your new role
As a Data Analyst, you will play a key role in shaping and delivering high‑quality data insights that support business change and future operating models. You will work across a complex multi‑system environment to gather, analyse and interpret data from a range of sources, producing clear, actionable intelligence for programme leads and senior stakeholders. You will support the development of unified data structures, contribute to the documentation and mapping of data flows, and assist in strengthening data governance and quality standards. The role will involve hands‑on data analysis, transformation and visualisation, while also supporting activities such as data cleansing, validation and the improvement of metadata and information asset records. You will collaborate with technical teams, business SMEs and project colleagues to ensure data is accurate, reliable and fit for purpose within a rapidly evolving programme landscape.

What you'll need to succeed
You will be an experienced Data Analyst with a strong background in working within complex organisations and multi‑system environments. You will bring solid analytical capability, proven experience in data modelling, cleansing, transformation and visualisation and confidence working with large and heterogeneous datasets. Strong proficiency in tools such as SQL, Excel and a leading BI platform (e.g. Power BI, Tableau) is essential. Experience supporting data governance, data quality initiatives or information management improvements will be highly beneficial, as will familiarity with documenting data flows, attributes and metadata. You should be comfortable engaging with both technical and non‑technical stakeholders, interpreting requirements and translating them into meaningful outputs. Excellent communication skills, attention to detail and the ability to work independently within a fast‑moving programme will be key to your success.

What you'll get in return
You will join a programme with meaningful national impact, helping to build a more connected and insight‑driven data environment. Alongside a competitive daily rate, you will benefit from flexible working arrangements, a collaborative team and the opportunity to contribute to a transformative initiative that will significantly enhance the organisation's digital and analytical maturity.

What you need to do now
If you're ready to bring your analytical skills to a purpose‑driven organisation, click 'apply' to submit your CV and begin a confidential conversation.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.