At a Glance
- Tasks: Support the Programme Manager with data integrity and performance reporting for housing development.
- Company: Join Moat, a forward-thinking organisation dedicated to delivering new homes.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on impactful community projects.
- Why this job: Make a real difference in housing development while honing your analytical skills.
- Qualifications: Experience in data management and a passion for housing services.
The predicted salary is between 30000 - 40000 £ per year.
Moat is seeking a Senior Programme Data Officer to support the Programme Manager in delivering accurate programme administration, data integrity and performance reporting.
The role focuses on owning development and post‑sales processes across multiple systems to ensure information remains compliant and up to date.
You will combine analytical skills with housing knowledge to impact the delivery of new homes and customer services.
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Hybrid Data & Programme Officer for Housing Development in Dartford employer: Moat Homes Limited
Moat is an exceptional employer that prioritises employee growth and development, offering a supportive work culture where collaboration and innovation thrive. With a commitment to creating positive change in the community, employees enjoy competitive salaries, generous leave, and numerous opportunities for personal and professional advancement, all while working in a hybrid model from our Dartford office and home. Join us to make a meaningful impact in affordable housing and be part of a team recognised as one of 'The Sunday Times Best Places to Work' in 2025.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data & Programme Officer for Housing Development in Dartford
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We think you need these skills to ace Hybrid Data & Programme Officer for Housing Development in Dartford
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 Moat Homes Limited, 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 Moat Homes Limited. 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 Moat Homes Limited
✨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!
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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 Moat Homes Limited!
✨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.
