Data Analyst; maternity cover
Listed on 2025-12-30
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Data Analyst (maternity cover)
Sheffield City Centre (fully office‑based)
Salary: £35,000 - £60,000
Start: Early 2026 (with handover/overlap)
Contract type: 37 hours per week. Fixed term 13 months from early 2026. Potential for this role to become a permanent hire, depending on business requirements.
Uni Homes is a leading UK student accommodation platform operating across 60+ cities, providing a Utility Management Service to our customers. Our Data & Analytics function powers commercial performance, product decisions, and operational efficiency, with increasing demands following investment from our private equity shareholders, Macquarie and LDC.
We’re looking for a talented Data Analyst (Mid to Senior level) to join our established Data & Analytics team for a 13‑month maternity cover, with the potential for this role to become permanent.
You’ll work as a hands‑on analyst – contributing directly to our dashboards, data models, and insight delivery across Sales, Marketing, Product, Operations, and Finance. This role is ideal for someone commercially minded who enjoys variety, takes ownership of their analysis, and thrives in a fast‑moving, collaborative environment.
You’ll be a commercially focused analyst who enjoys getting stuck into data and making a tangible impact. You’ll be confident in SQL and BI tools, curious about the “why” behind numbers, and able to communicate findings clearly to non‑technical audiences.
Key responsibilities- Analytics delivery
- Build and enhance Tableau dashboards to monitor key business performance metrics across Sales, Marketing, Product, Operations, and Finance.
- Develop and maintain SQL models in dbt to transform raw data into reliable, business‑ready tables.
- Perform deep‑drive analyses to identify trends, explain performance drivers, and make actionable recommendations.
- Support the weekly KPI reporting cadence with clear insight and data visualisation.
- Collaborate with stakeholders to define metrics, improve data quality, and automate recurring reporting.
- Work with Sales, Operations, Marketing and Finance to track agent, property, website and budget performance across letting seasons.
- Finance to track agent, property, website and budget performance across letting seasons. Support Product and Engineering teams with user analytics, experimentation (A/B tests), and feature adoption insights.
- Conduct ad‑hoc analyses and investigations – from demand tracking to client engagement and operational efficiency.
- Team collaboration
- Participate in peer reviews, model documentation, and QA processes.
- Contribute to an established analytics stack (Snowflake, dbt, Tableau) – with all core data structures and reporting already in place.
- Champion best practices in analytical design, reproducibility, and communication of insights.
- 3-5+ years’ experience in data or analytics roles.
- Strong SQL skills (comfortable joining multiple tables, using CTEs, CASE statements, and window functions).
- Experience building dashboards in Tableau (or similar tools) and using advanced BI features (e.g., LOD calculations, layered filtering).
- Commercial awareness and ability to link data insights to business actions.
- Excellent communication and stakeholder management skills.
- Experience with dbt and Snowflake (or other cloud data warehouses).
- Familiarity with GA4 and Salesforce data.
- Background in property, utilities, or marketplace businesses.
At Uni Homes, we are transforming the student rental experience across the UK. As the leading platform for student accommodation advertising and utility management, we provide a streamlined solution that simplifies the process of securing all‑inclusive housing.
Our innovative technology and services are designed to support students, letting agents, and operators by offering a single, comprehensive platform that facilitates every stage of the rental journey. Since our inception in 2015, we have expanded our operations to over 60 cities, partnered with more than 1,000 letting agents and operators, and secured investment from Macquarie Capital and LDC.
Our achievements have been recognised through awards such as EY Entrepreneur of the Year, Deloitte UK…
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