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Data Analyst

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: National Residential Landlords Association - NRLA
Full Time, Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 55000 - 70000 GBP Yearly GBP 55000.00 70000.00 YEAR
Job Description & How to Apply Below

The UK's largest membership organisation for private residential landlords, the National Residential Landlords Association (NRLA) supports and represents more than
100,000 members across England and Wales.

Created by landlords, for landlords, it offers investors everything they need to run a successful and compliant lettings business, whether they are full-time property professionals running large portfolios or accidental landlords with a single let.

The NRLA is a trusted ally, on hand to guide members through the complex regulatory environment, with all the essential documents and guidance needed to run a successful and fully compliant business.

A truly member-first organisation, innovation is at the heart of what we do and have invested in and developed new proptech solutions for members, including the acquisition of property safety certification firm Safe2 and the development of property management system Portfolio.

A dynamic and fast-paced organisation, the NRLA is a great place to work, and it is not just us saying that, we have Investors in People Gold status to prove it. The association was also named one of the best companies to work for in the UK in a list compiled by The Sunday Times.

Our enthusiastic and ambitious staff work out of offices in Central Manchester and Central London with hybrid working options available. Colleagues typically work from home four days a week with one day in the office.

We are looking for colleagues who are professional, adaptable, and innovative. In return we offer an inclusive and creative working environment with attractive options for training and career development and a competitive salary and benefits package.

The NRLA package:

25 days annual leave increasing to 26 days with three years’ service, 27 days with five years’ service and 28 days with seven years’ service

Additional annual day off for your birthday

Salary exchange Pension scheme

Life assurance

Cash plan health and wellbeing benefit including Employee Assistance Programme and counselling service

Sick pay

Cycle purchase loans, season tickets loans and interest-free staff loans

Complimentary NRLA membership

Non-contractual annual performance-related bonus scheme

Enhanced maternity and paternity pay

Location:

Manchester/London – Hybrid

Key Working Relationships:

Deputy Director – Data and Insights: sets the data strategy, standards and priorities. This role delivers within them and brings forward ideas for what the function should do next. The wider Technology team: developers in the Head of Product Development’s team, who build the applications the warehouse draws data from, and the Dev Ops Manager’s team, who provide the infrastructure, identity and integration tooling the pipelines run on.

Product owners and Business Analysts in the Product Directorate; colleagues across the NRLA as users of reporting and insight and owners of source data; consultants and suppliers working on the warehouse, personalisation and AI.

Main Purpose and Scope Of Job:

Turn the NRLA’s data into insight the business acts on, and into the clean, well-modelled data that personalisation and AI depend on. The Data Analyst works with colleagues across the business to understand, translate and scope their requirements, builds reports and analysis from the data warehouse, and works with the rest of the team to extend and enrich it.

The role supports the NRLA 2.0 ambition to give every member a personalised experience: it prepares and tests the data behind segments, models and recommendations, measures whether personalisation is working, and helps bring AI into the team’s own work and into NRLA products. It raises data literacy across the business and asks what decision each request will inform, so that the team’s work changes what…

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