Senior Data Analyst
The Lettings Hub
- Peterborough, England, United Kingdom
- Peterborough, England, United Kingdom
Über
Reports to: Chief Product & Technology Officer
*About Us*
We are one of the market leading providers of solutions to the private rental sector. We help over 350,000 tenants move home each year and protect millions of pounds of UK rent. One of our platforms (BOX), was 2024’s Rental Management Platform of the Year, and
*Location:* Remote, United Kingdom – some travel to Peterborough and Nottingham required during onboarding phase and from time to time where required.
*Overview*
We are looking for a hybrid Senior Data Analyst and Data Engineer who will own the analytical foundations of the business. This is a hands-on role combining SQL engineering, data modelling, automation, and dashboard development. You will build and maintain the data pipelines and analytical layers that support product, operations, finance, and compliance across a multi-platform ecosystem.
This role suits someone who enjoys both analysis and engineering, who wants to shape how data flows through an organisation, and who is motivated by improving systems rather than maintaining static reporting.
*What The Role Looks Like*
You will design and optimise data structures, build automated workflows, integrate systems, and develop reliable analytical models used across the group. You will reduce manual work, consolidate reporting, and turn disconnected data sources into well defined, reusable datasets.
This is the core data role for the organisation. You will set standards, improve our tooling, and have ownership over how our data environment evolves.
This is a hands-on technical role with future leadership potential with the scope to influence how our data stack evolves.
*Key Responsibilities*
Analytics and Modelling
* Build analytical layers and dashboards in our BI platform that serve as single sources of truth. (Currently Metabase)
* Develop metric definitions and modelling logic used across multiple teams.
* Provide deeper analysis of product, operational, and financial performance
Data Engineering
* Create reusable data models that support scalable analytics and automation.
* Implement validation, monitoring, and alerting to ensure data reliability.
* Design, build, and maintain ETL and ELT pipelines using SQL and automation platforms.
* Optimise database queries, indexes, and schemas to improve performance.
* Automation and System Integration
*First 60 to 90 Days: Technical Priorities*
* Consolidate all finance reporting into accurate, consistent analytical models and automated dashboards.
* Review manual reporting workflows and convert them into automated, repeatable processes.
* Map data sources, identify key reliability issues, and produce a remediation plan.
* Begin standardising core entities and metrics across systems and teams.
Job Types: Full-time, Permanent
Benefits:
* Company pension
* Cycle to work scheme
* Work from home
Work Location: Hybrid remote in Peterborough PE2 6LR
Sprachkenntnisse
- English
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