Future Tech Jobs Future Tech Jobs

Housing Revenue Systems & Data Analyst

CV-Library
Camden Town, Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Developer

Halton Housing Widnes, Cheshire, WA8 0RP, United Kingdom
£39,602 pa Hybrid

Business Intelligence Analyst

Saffron housing Long Stratton, United Kingdom

Data and Analytics Officer

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

Data Governance & Enablement Manager

Orbit Group Binley Woods, United Kingdom

Systems and Data Analyst

Acis Group Gainsborough, United Kingdom

Head of Enterprise Data Delivery

Amplius Milton Keynes, Buckinghamshire, United Kingdom
£80,000 pa Hybrid
Posted
9 Jun 2025 (11 months ago)
Share
Save job
Create job alert

Job Title: Housing Revenue Systems & Data Analyst

Are you passionate about using data to improve lives? Join Camden and help shape the future of housing services.

We’re looking for a Housing Revenue Systems & Data Analyst to play a pivotal role in driving innovation, compliance, and performance within our Rent Accounting Team. This is your chance to apply your technical expertise to something that truly matters—delivering excellent housing services for the people of Camden.

About the Role

As our Housing Revenue Systems & Data Analyst, you will manage and optimise key housing finance systems, support statutory processes, and turn data into insights that drive better decision-making and service outcomes.

Whether it’s maintaining complex rent systems, producing performance analytics, or supporting strategic projects, you’ll be at the heart of a team committed to service excellence and continuous improvement.

Key Responsibilities

  1. Systems & Compliance

  • Configure, maintain, and enhance housing management systems (e.g. Northgate NEC).

  • Act as gatekeeper for system changes related to rents and housing data.

  • Lead system testing and manage update rollouts.

  • Ensure statutory compliance with rent processes and communication.

  • Collaborate with ICT and third-party vendors on system upgrades.

  1. Business Intelligence & Reporting

  • Build and maintain reports on arrears, income recovery, and performance.

  • Support rent-setting and budgeting through robust forecasting models.

  • Use SQL, SAP BusinessObjects, and QlikSense for data analysis and insight generation.

  • Drive data quality, governance, and performance reporting.

  • Identify trends and enable data-driven decision making.

  1. Operational Support

  • Oversee rent reconciliation and transaction matching processes.

  • Manage quarterly and annual rent statements and notifications.

  • Prepare and deliver statutory returns on time.

  • Respond to ad hoc data and reporting requests.

  1. Strategic Development

  • Represent rent systems in council-wide IT and transformation projects.

  • Map business processes and assess impacts of change.

  • Develop gatekeeping protocols in collaboration with Corporate Finance.

  • Produce technical specifications and support systems integration.

    About You

    We're looking for someone who:

  • Has hands-on experience with housing management and finance systems (ideally Northgate NEC).

  • Is confident managing large datasets and delivering insightful analysis.

  • Understands rent legislation, financial reporting, and housing policy.

  • Has strong skills in SQL and business intelligence tools.

  • Enjoys working collaboratively across technical and non-technical teams.

  • Champions service excellence and statutory compliance.

  • Ideally has experience with ITIL practices, social housing, and is working toward (or holds) a CCAB qualification.

    Working the Camden Way

    At Camden, how we work is just as important as what we do. Our organisational values—Delivering for Camden, One Team, Pride in Getting it Right, Finding Better Ways, and Personal Responsibility—guide everything we do. We’re transforming services to meet 21st-century challenges while keeping our communities at the centre.

    What We Offer

  • A flexible, hybrid working model

  • A welcoming, inclusive, and diverse workplace

  • Continuous learning and career development opportunities

  • The chance to be part of a high-impact, purpose-driven team

  • Supportive policies and benefits that help you thrive inside and outside of work

    How to Apply:

    If you're ready to be a part of a service that truly makes a difference, we’d love to hear from you. Email your cv or call (phone number removed)

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

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.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.