At a Glance
- Tasks: Analyse data and visit properties to ensure accuracy and fairness in service charges.
- Company: Leading national Housing Association with a focus on transparency and tenant protection.
- Benefits: Competitive salary, 28 days holiday, hybrid working, and health cash plan.
- Other info: Enjoy career progression opportunities and a supportive work environment.
- Why this job: Blend data analysis with real-world property visits for a dynamic work experience.
- Qualifications: Analytical mindset, Excel skills, and a background in housing or data analysis.
The predicted salary is between 34000 - 34000 £ per year.
Are you a naturally curious data professional or housing specialist who loves to get out from behind the desk? How about this role with a leading national Housing Association, as a specialist working in the Service Charge team. This isn't your typical, static finance role. If you want a position that blends sharp data analysis with real‑world, hands‑on property visits, this unique opportunity offers the variety you’ve been looking for.
As a Service Charge Analyst, you won’t just crunch numbers, you will tell the story behind them. You will get the chance to travel nationally to various housing schemes, verifying that the data on your screen matches the reality on the ground.
What you’ll be doing:
- Audit service charge schedules, spot discrepancies, and separate genuine errors from necessary adjustments.
- Travel to properties nationally to physically verify assets, ensure fair cost recovery, and review service delivery.
- Work closely with Asset and Housing teams to future‑prove apportionment models and align data with lease agreements.
- Directly protect tenants and leaseholders by ensuring every single charge is transparent, fair, and legally compliant.
What you need:
- An inquisitive "detective" mindset.
- A background in service charge administration, property services, data analysis, or housing operations.
- Intermediate to advanced Excel skills and the ability to confidently navigate finance or housing management software.
- The ability to read and interpret complex residential leasehold and tenancy agreements to verify accuracy.
- Comfortable collaborating with internal leadership, regional asset teams, and external contractors.
- A full UK driving license and a willingness to undertake regular national travel for site visits.
Why you’ll love this job:
- Competitive Salary: circa £34k
- Work‑Life Balance: 35‑hour work week with hybrid working 50/50 between the Peterborough office and home.
- Perks: 28 days holiday, plus bank holidays, and your birthday off, plus the option to buy/sell more.
- Health & Wellbeing: comprehensive health cash plan, and excellent gym/retail discounts.
- Future‑Proofing: Exceptional internal training, access to a Leadership Academy, and strong long‑term career progression.
- Security: Top‑tier pension schemes (including defined benefit options) and peace of mind life assurance.
If you are thorough, love problem‑solving, and are ready for a role with real movement and variety, apply today!
Service Charge Data Analyst employer: Hireful
Join a leading national Housing Association that values curiosity and hands-on experience in the role of Service Charge Data Analyst. With a competitive salary, a strong focus on work-life balance through hybrid working, and exceptional opportunities for professional growth, this company fosters a supportive culture where your analytical skills can shine while making a real impact on tenants and leaseholders. Enjoy comprehensive health benefits, generous holiday allowances, and a commitment to your long-term career progression in a dynamic and rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Service Charge Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hireful!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hireful.
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We think you need these skills to ace Service Charge Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Hireful, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hireful. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hireful
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hireful!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
