At a Glance
- Tasks: Manage critical datasets and support data quality in a dynamic team environment.
- Company: Join a passionate team dedicated to supporting local communities and essential services.
- Benefits: Enjoy 26 days annual leave, flexible benefits, and a supportive work culture.
- Other info: Flexible working arrangements and commitment to diversity and inclusion.
- Why this job: Make a real difference in your community while developing your skills in data management.
- Qualifications: Detail-oriented with strong organisational and data interpretation skills.
The predicted salary is between 27427 - 34456 £ per year.
About The Role
Hours: 37 per week
Location: Hereford (Hybrid)
Salary: Hoople Band C £27,427- £34,456 per annum
Contract: Permanent
Closing Date: 13th September 2026
Interview Date: W/C 5th October 2026
Welcome to the fascinating world of Revenues and Benefits! Our team is responsible for collecting local taxes and distributing financial assistance to residents, serving as the financial backbone that funds essential community services and supports vulnerable households. If you have a sharp eye for detail, the ability to organise multiple tasks, strong skills in recording and interpreting data trends, and a passion for team communication, then we are looking for you!
Join our high-performing Revenues & Benefits team to manage critical datasets, drive data quality, and support statutory information processing. You will play a vital role in the daily running of the service—supporting the management team, coordinating actions, and leading data reporting. We pride ourselves on a great team spirit, a culture of continuous improvement, and the active development of our staff.
Benefits include:
- 26 days annual leave plus Bank Holidays rising to 31 days after 5 years’ service
- An Aviva salary sacrifice pension scheme
- A flexible benefits scheme providing a range of benefits and discounts across retailers
- The option to buy or sell annual leave
- Cycle to work scheme
- Healthcare plans
We welcome applicants whatever their personal characteristics or social identity. All requests for flexible working arrangements and reasonable adjustments will be considered.
The following candidates will be interviewed if they meet the essential criteria for the post they are applying for:
- Those who indicate that they have a disability. This is part of our commitment to the “Disability Confident” scheme;
- Those who indicate in their supporting statement that they are an Armed Forces Veteran or Reservist. This is part of our pledge to support the Armed Forces Covenant;
- Those who indicate in their supporting statement that they are a Herefordshire care leaver. This is part of our commitment to supporting young people leaving our care.
Please refer to the Job Description and Person Specification for more details of this role.
About Us
Our vision: To provide excellent business support services to the public sector and those who work with them.
Our mission: Creating and building trusted and sustainable relationships in order to deliver business critical services for our key customers.
Our values:
- Passion for improvement: Continuous improvement to develop more effective ways of delivering services for our customers
- Customer focus: Satisfying our customers and helping them to support themselves
- Professional integrity: Bringing the best of our shared technical expertise and professional values to our work
- Mutual support: Whether one-to-one or in teams, we encourage and support each other to strive for excellent performance in all that we do
Data and Information Support Officer (Revenues and Benefits) in Hereford employer: Hoople Ltd
Hoople Ltd is an excellent employer, offering a supportive work culture where employees are valued and encouraged to grow. Located in the charming town of Ledbury, this temporary receptionist role provides a unique opportunity to gain experience in a professional environment while enjoying flexible working hours and competitive pay. Join us for a rewarding experience that not only enhances your skills but also contributes to the community.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Information Support Officer (Revenues and Benefits) in Hereford
✨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 Hoople Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data and Information Support Officer (Revenues and Benefits) at Hoople Ltd.
✨Leverage Professional Networks
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 Hoople Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data and Information Support Officer (Revenues and Benefits) at Hoople Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data and Information Support Officer (Revenues and Benefits) in Hereford
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 Hoople Ltd, 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 Hoople Ltd. 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 Hoople Ltd
✨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 Hoople Ltd!
✨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.