Data and Analytics Officer

SNG (Sovereign Network Group)
Usa, SL4 4BQ, United Kingdom
Today
£38,000 – £44,000 pa

Salary

£38,000 – £44,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)

SNG (Sovereign Network Group) is one of the largest housing associations in England. We provide over 85,000 homes and invest in communities across the South, West and East of England, including London, as well as building thousands of new affordable homes every year.

We have a fantastic new opportunity as a Data and Analytics Officer in our Data, Analytics and AI department. In this new role you will work closely with stakeholders creating self-serve Power BI datasets to create high quality reports, published to the Power BI environment, ensuring accurate and timely delivery to meet the needs of the business.

You'll be based from our office in eitherBasingstokeor Wembley, you'll combine home and office working in line with our hybrid approach.

Responsibilities include

  • Develop and maintain interactive dashboards, reports, and data visualisations using Power BI to support decision-makers across the organisation.
  • Design and implement fact and dimension data models to ensure data accuracy, consistency, and efficiency in all SNG reporting and analysis.
  • Work closely with cross-functional teams to understand the data needs and provide analytics solutions to address specific business challenges.
  • Work with the Data & Analytics Manager to help champion and support the Centre of Excellence for Power BI.

What we need from you

  • Excellent knowledge of reporting software tools such as Sequel Server Management Studio, Data Warehousing Concepts, DevOps, Power BI.
  • Good understanding of star schema models and the use in Power BI.
  • Excellent communication skills and ability to adapt to a wide audience.
  • Ability to use SQL query to shape data requirements.

Related Jobs

View all jobs

Lead Solutions Architect (CTO level-CPG/Retail, DS/DE background)

Databricks London, United Kingdom
£100,000 – £150,000 pa On-site

Head of Data

WeDoData London, United Kingdom
£50,000 – £55,000 pa

Data and Analytics Analyst

Harnham - Data & Analytics Recruitment London, United Kingdom
£30,000 – £40,000 pa Hybrid

Director of Data Analytics

Harnham - Data & Analytics Recruitment London, United Kingdom
£120,000 – £140,000 pa On-site

Head of Data and Product

Aspire Personnel Ltd Poole, Dorset, BH13 7EE, United Kingdom
£65,000 – £75,000 pa On-site

Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom
£50,000 – £65,000 pa Hybrid

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.