Data Analyst - Adult Social Care

RG Setsquare
Slough, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Data Scientist

Vallum Associates London, United Kingdom

Senior Forensic Data Analytics Manager

Brimstone-Recruitment Dublin, City Of Dublin, Ireland

Director: Forensic Technology/Data Analytics/FinCrime/Regulatory

Brimstone-Recruitment City Of Dublin, Ireland

SVP Delivery, EMEA

Quantexa London, United Kingdom
£150,000 – £200,000 pa Hybrid

Senior Full Stack Engineer (Must be based in UK)

PolyAI London, United Kingdom
£40,000 – £70,000 pa On-site
Posted
14 Mar 2026 (Last month)

Job Title: Data Analyst - Adult Social Care

Location: Slough (Hybrid - 1-2 days per week onsite)

Contract: 12 Weeks

Rate: £500 per day (Umbrella)

Overview

We are seeking an experienced Data Analyst to support Adult Social Care services within a local authority environment. This is an initial 12-week contract offering hybrid working, with approximately 1-2 days per week onsite in Slough.

The successful candidate will play a key role in delivering high-quality management information and insights to support operational and strategic decision-making across Adult Services. You will work closely with service leads and stakeholders to ensure data is accurate, accessible, and translated into meaningful intelligence through robust reporting and dashboards.

Key Responsibilities

Develop, maintain, and enhance Power BI dashboards that provide clear and actionable insights across Adult Social Care services.

Design and support the technical infrastructure required to host, manage, and integrate multiple datasets from different systems.

Lead on the creation of management information outputs, including performance indicators (PIs), KPIs, and statutory reporting requirements.

Work with service colleagues to improve data quality, ensuring datasets are accurate, complete, and fit for reporting and analysis.

Extract, transform, and analyse data from core Adult Social Care systems.

Support ongoing dashboard development, maintenance, and performance monitoring.

Provide analytical insight to help the Council deliver services efficiently and effectively.

Essential Skills & Experience

Strong experience developing Power BI dashboards and data visualisations.

Experience working with Adult Social Care datasets and performance reporting.

Hands-on experience with Liquidlogic and ContrOCC systems.

Strong skills in data modelling, data integration, and data quality management.

Experience producing management information, KPIs, PIs, and statutory reports.

Ability to translate complex data into clear insights for non-technical stakeholders.

Strong SQL and/or data manipulation skills.

Eden Brown is committed to equality in the workplace and is an equal opportunity employer. Eden Brown is acting as an Employment Business in relation to this vacancy

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 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.

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.

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.