Housing Revenue Systems & Data Analyst

Camden Town
8 months ago
Applications closed

Related Jobs

View all jobs

Housing Data Engineer

Data Analyst

Data Engineer

Data Analyst

Data Analyst

Data Analyst - Power BI

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)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.