At a Glance
- Tasks: Transform data into insights and showcase the impact of our housing initiatives.
- Company: Join Prisoners Building Homes, a leader in social impact and housing delivery.
- Benefits: Flexible part-time role with opportunities for professional growth and meaningful work.
- Other info: Remote work with occasional travel; apply early as recruitment is rolling.
- Why this job: Make a real difference by analysing data that drives social change and employment pathways.
- Qualifications: Experience in data analysis and a passion for social impact.
The predicted salary is between 63000 - 77000 £ per year.
Location: Home-based / remote, with occasional programme meetings or national travel
Responsible to: Prisoners Building Homes (PBH)
Help us turn data into insight – and demonstrate the difference PBH is making. Prisoners Building Homes is looking for an experienced and pragmatic Associate Data Analyst to help strengthen how we measure, understand and communicate performance and impact. PBH brings together housing delivery and social impact, creating pathways into employment and generating measurable social value.
We need someone who can bring together programme, site, commercial and social-impact data and turn it into clear, reliable insight for decision-makers and partners. You’ll help establish PBH’s benefits-realisation framework, develop meaningful measures and KPIs, improve data quality and reporting, build practical dashboards and identify trends, risks and opportunities.
This is not simply a reporting role. We’re looking for someone curious about what the data is actually telling us – someone who can challenge weak evidence, communicate complex findings clearly and help us demonstrate whether intended outcomes and wider benefits are being achieved.
The assignment is part time and flexible, with input expected to be greater initially while the core analytical framework is established. Recruitment will operate on a rolling basis, so early applications are encouraged.
We are unable to offer visa sponsorship for this role. Successful candidates must have an independent right to work in the UK before starting their employment. Recruitment will operate on a rolling basis for approximately 7–10 days. Applications will be shortlisted as they arrive, with interviews taking place on a rolling basis from 1st September. Offers may be made as soon as suitable candidates are identified, so the recruitment process may close once an appointment is made. The successful associate preferred start date is September 2026.
Data & Benefits Realisation Analyst Associate in London employer: Local Partnerships LLP
Local Partnerships LLP is an exceptional employer, offering a dynamic work culture that prioritises collaboration and innovation in the realm of place-based growth and regeneration. With a strong commitment to employee development, we provide ample opportunities for professional growth and advancement, all while making a meaningful impact on communities across the region. Our location fosters a vibrant atmosphere, allowing you to engage with diverse stakeholders and contribute to sustainable outcomes that truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Benefits Realisation Analyst Associate in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Local Partnerships LLP.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Local Partnerships LLP and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Data & Benefits Realisation Analyst Associate in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Local Partnerships LLP aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Local Partnerships LLP
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Local Partnerships LLP.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Local Partnerships LLP.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Local Partnerships LLP, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Local Partnerships LLP will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
