Junior Data Analyst; Temp

Junior Data Analyst (Temp June-Sept 26)

Sheffield City Centre (fully office-based)

£25,878 – £30,000 pa pro rata DOE
Fixed-term (early June 2026 — 25th September 2026)

Uni Homes is looking for a Junior Data Analyst to join the Data team on a temporary basis and help us progress a backlog of analytical projects that will materially improve how we understand utility consumption, pricing assumptions and property‑level performance.

This is a hands‑on analytical role with real visibility. You’ll work on a defined set of self‑contained projects, with prepared datasets supplied by the existing team and senior validation of every output before it is used. You won’t need to navigate the full Uni Homes data stack — the focus is on doing thoughtful, well‑documented analysis on data that has been pre‑prepared for you.

The projects you’ll lead on are quantitative in nature: understanding the relationship between weather and energy usage, improving annual consumption assumptions, modelling how consumption phases across the year, building an initial view of water usage, and testing whether square footage is a better predictor of energy use than bedroom count. Each project has a clearly defined question, output and reviewer.

Reporting into the Head of Commercial Strategy, Performance and Data and working day‑to‑day with our senior data and utilities team, you’ll be supported through weekly check‑ins, structured briefs and clear documentation expectations.

This is an excellent first, fixed term role for a quantitative graduate or penultimate‑year student who wants to see how data analysis directly supports commercial decision‑making.

• Lead delivery of a defined set of analytical projects, including weather‑to‑usage correlation, annual gas and electric consumption assumptions, usage curves, water usage assumptions, and square footage vs energy use.
• Work with pre‑prepared datasets provided by the senior team — no direct work in Snowflake, Salesforce, Tableau or dbt required.
• Test relationships in the data and produce clear, evidenced outputs — segmented where data allows by group size, EPC, heating type, location and property type.
• Document methodology, assumptions, sample sizes, exclusions and limitations for every piece of analysis.
• Label outputs clearly as exploratory, validated, recommendation or operational, and route them to the named senior reviewer before use.
• Attend weekly check‑ins to share progress, raise data issues and surface early findings.
• Save working files and methodology notes so analysis can be picked up later by the permanent team.
• Provide clear, written hand‑over of completed projects at the end of the contract.

• Recent graduate or penultimate/final‑year undergraduate in a quantitative discipline — Mathematics, Statistics, Data Science, Data Analytics, Economics (quantitative pathway), Physics, Engineering, Energy Studies, Environmental Science, Computer Science (analytics focus), Actuarial Science or similar.
• Confident with Excel or Sheets; exposure to SQL or Python is desirable but not essential.
• Comfortable testing relationships in structured data and presenting findings clearly.
• Strong attention to detail and a habit of documenting what you’ve done and why.
• Curious, organised and willing to ask questions when something doesn’t look right.
• Interest in utilities, property, energy data or the student housing sector is desirable but not essential.

With people and culture at the heart of our organisation, we are continually enhancing our employee offer and culture. We are proud to have been officially certified as a Great Place to Work and an accredited Living Wage employer – all our employees earn a fair living wage above the government minimum wage.

Working in our stunning new office at New Era Square in the centre of Sheffield, you will get complimentary breakfast, hot & cold drinks, snacks, pool table, holidays, length of service days, voluntary day, enhanced pension scheme, pension salary sacrifice scheme, healthcare scheme, Employee Assistant Programme, sick pay, enhanced maternity & paternity pay, career progression, a…