Senior Data Analyst

SKILLS FOR CARE
West Yorkshire
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Marketing

Senior Data Architect

Data Engineer

Senior Systems and Data Analyst (Grade L)

Settlements Data Analyst

Senior Data Analyst

Internally we call this role Workforce Intelligence Analyst. The above job title is being used for external advertising purposes.

Working in the Analysis team within Skills for Care’s Workforce Intelligence unit, you will analyse and report on data held within the Adult Social Care Workforce Data set (ASC-WDS). The ASC-WDS is funded by the Department of Health and Social Care and is the major data collection on the adult social care workforce. It collects data about care-providing establishments as well as data about individual workers in this large and growing employment sector.

We are hiring for a new analyst to join the Analysis team. We work on a diverse range of projects and use a variety of software; you do not need to be an expert in all areas to begin with. Training will be provided, however experience of these software or similar are required along with strong analytical skills.

Analyst work will involve using a combination of Microsoft excel and statistical packages (such as SPSS) to analyse datasets. Microsoft word for creating and reviewing written reports. Data visualisation tools (such as Tableau and Power BI) are also used to provide insights for internal and external stakeholders.

Leading on analysis, data visualisation and report writing projects, you will work in an Agile project environment contributing to delivery, planning and new innovations within ...

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.

Jobs

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.

Careers

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.