Data & Reporting Lead for Retrofit Grants & Net Zero

Data & Reporting Lead for Retrofit Grants & Net Zero

Full-Time 35000 - 42000 £ / year (est.) No working from home possible
Orbit Group

At a Glance

  • Tasks: Monitor and report on retrofit programmes, track projects, and provide data insights.
  • Company: Join Orbit Group, a leader in sustainable housing solutions.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative team environment focused on sustainability and innovation.
  • Why this job: Make a real difference in the fight against climate change with impactful data work.
  • Qualifications: Experience in data analysis and reporting, strong communication skills.

The predicted salary is between 35000 - 42000 £ per year.

Orbit Group is seeking a data‑driven specialist to monitor and report on grant funded retrofit programmes and support the EPC C and Net Zero Carbon strategies. You’ll track projects, monitor KPIs, flag risks and provide clear data insights to internal and external stakeholders to aid informed delivery.

Joining the Property team, you’ll build robust reporting processes, collaborate with Finance and Governance, and help ensure funding compliance while supporting governance, risk management.

Data & Reporting Lead for Retrofit Grants & Net Zero employer: Orbit Group

At Orbit, we pride ourselves on being a leading housing group dedicated to building thriving communities and providing affordable homes. Our work culture is rooted in collaboration and a strong commitment to customer focus, ensuring that our employees feel valued and empowered to make a difference. With ample opportunities for professional growth and a supportive environment, joining us as a Contracts & Standards Manager means contributing to meaningful change while enjoying the benefits of working for an organisation that truly believes in people.

Orbit Group

Contact Details:

Orbit Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Reporting Lead for Retrofit Grants & Net Zero

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 Orbit Group!

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 & Reporting Lead for Retrofit Grants & Net Zero at Orbit Group.

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 Orbit Group.

Apply Directly through Our Website

When you find a suitable opening like Data & Reporting Lead for Retrofit Grants & Net Zero at Orbit Group, 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 & Reporting Lead for Retrofit Grants & Net Zero

Communication Skills
Problem-Solving Skills
SQL
Automation
Attention to Detail
Python
Data Governance

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 Orbit Group, 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 Orbit Group. 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 Orbit Group

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 Orbit Group!

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.