At a Glance
- Tasks: Own energy data for clients, build reports, and resolve data issues.
- Company: Join a growing consultancy focused on sustainability and energy management.
- Benefits: Up to £32,000 salary, hybrid working, and funded Data Analyst course.
- Other info: Structured onboarding with opportunities for career growth and remote flexibility.
- Why this job: Make a real impact in sustainability while developing your data skills.
- Qualifications: Background in energy or utilities, detail-oriented, and strong communication skills.
The predicted salary is between 31500 - 38500 £ per year.
Energy Data Analyst | Permanent | Hybrid - Brighton | up to £32,000
Are you someone looking to build a career in data and have a passion for sustainability?
PT Renewables is exclusively partnered with a growing, specialist consultancy that helps organisations get a grip on their energy, water and carbon data.
They're now looking for a new Energy Data Analyst to join the team, being in the midst of energy, carbon and usage data with real scope for someone to continue to grow into it.
If you're someone who enjoys digging into a spreadsheet until you find out why the numbers don't add up, this could be a great next move.
The Role
- Own energy data end-to-end for a client portfolio - collection, invoicing, and producing journals through Systems Link.
- Work with clients and suppliers to investigate and resolve data issues; electricity metering knowledge (ideally MHHS/AMR exposure) is a plus
- Build Power BI reports covering consumption, spend and carbon data, including live reporting
- Spot anomalies and gaps, and follow them through to a proper explanation, not just a flag
- Act as a genuine client advocate - building relationships and challenging information that doesn't add up
The role will naturally expand into more carbon reporting and wider datasets as your confidence and skills develop.
About You
- Some background in energy or utilities - brokerage, supplier, consultancy or a wider utility/data environment
- Naturally curious and detail-oriented, with a genuine interest in the "why" behind the data
- Confident communicator who can build relationships with clients and suppliers
- Systems Link experience is a strong plus; Power BI exposure helps too
- Hybrid working from Brighton office
- Structured onboarding, with first six months focused on learning the role and systems
- Funded Data Analyst course once established, with a route into a more technical role
- Remote working flexibility once settled in
- Exposure to live client portfolios, carbon reporting and M&V
If you're an ambitious Data Analyst with a background in energy or sustainability, we'd love to hear from you!
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Energy Data Analyst in Brighton employer: PT Renewables
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StudySmarter Expert Advice🤫
We think this is how you could land Energy Data Analyst in Brighton
✨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 PT Renewables!
✨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 Energy Data Analyst at PT Renewables.
✨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 PT Renewables.
✨Apply Directly through Our Website
When you find a suitable opening like Energy Data Analyst at PT Renewables, 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 Energy Data Analyst in Brighton
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 PT Renewables, 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 PT Renewables. 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 PT Renewables
✨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 PT Renewables!
✨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.
