At a Glance
- Tasks: Support data management and forecasting for renewable energy projects.
- Company: Leading renewable energy company with a global presence.
- Benefits: Competitive salary, flexible working, and commitment to diversity.
- Other info: Enjoy hybrid working and opportunities for career growth.
- Why this job: Make a global impact while working in a dynamic, innovative team.
- Qualifications: Strong analytical skills and experience with Python and SQL.
The predicted salary is between 32000 - 36000 £ per year.
We are a leading renewable energy company operating across the UK, Australia, and the US, helping businesses transition to a cleaner energy future through the aggregation, trading, and supply of renewable power. As energy markets become increasingly complex, the effective management of portfolio data and forecasting is critical to maintaining commercial success and delivering innovative energy solutions to customers.
We are seeking a Data Operations Analyst to join our Optimisation & Structuring team. This role sits at the intersection of data, operations, and commercial decision-making, supporting the management of a diverse portfolio of renewable generation, business supply, and flexibility contracts. You will play a key role in ensuring the accuracy and integrity of portfolio data across multiple systems, driving process improvements, supporting forecasting activities, and contributing to automation and advanced analytics initiatives.
Qualifications
- Strong numerical or analytical knowledge/skills
- Experience/working knowledge of Python
- Proficient in data analysis, database management, SQL and Microsoft Excel
- An understanding or keen interest in energy markets
Benefits and Work Culture
- Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
- Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters.
- Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
- Hybrid Working: Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
Data Operations Analyst employer: SmartestEnergy Limited
As a leading renewable energy company, we offer our employees the chance to make a global impact while enjoying a flexible and inclusive work culture. With opportunities for professional growth and a commitment to diversity, our Data Operations Analyst role allows you to thrive in a dynamic environment that values your well-being and encourages innovation. Join us in shaping a cleaner energy future while benefiting from hybrid working arrangements and the freedom to work remotely for part of the year.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the renewable energy sector, especially those working in data operations. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially if you've worked with Python, SQL, or Excel. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of energy markets. Be ready to discuss how your analytical skills can help drive process improvements and support forecasting activities in the renewable sector.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making a global impact.
We think you need these skills to ace Data Operations Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Operations Analyst role. Highlight your numerical skills, experience with Python, and any relevant data analysis projects. We want to see how your background fits with our mission in renewable energy!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about renewable energy and how your skills can contribute to our Optimisation & Structuring team. Let us know what excites you about this role!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention specific tools or projects where you've used SQL or Excel to solve problems. We love seeing how you approach data challenges!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be part of our journey towards a cleaner energy future. Don’t miss out on this opportunity!
How to prepare for a job interview at SmartestEnergy Limited
✨Know Your Numbers
As a Data Operations Analyst, you'll need to showcase your strong numerical and analytical skills. Brush up on key data concepts and be ready to discuss how you've used data analysis in past roles. Prepare examples that highlight your experience with SQL and Excel, as these will likely come up during the interview.
✨Showcase Your Python Skills
Since experience with Python is essential for this role, make sure you can talk about any projects or tasks where you've used it. If possible, prepare a small coding example or a problem you've solved using Python. This will demonstrate your practical knowledge and enthusiasm for the language.
✨Understand the Energy Market
Having a keen interest in energy markets is crucial. Do some research on current trends and challenges in renewable energy. Be prepared to discuss how these factors might impact data operations and decision-making within the company. Showing that you’re informed will set you apart from other candidates.
✨Emphasise Process Improvement
This role involves driving process improvements, so think of specific instances where you've identified inefficiencies and implemented solutions. Be ready to share your thought process and the outcomes of your initiatives. This will demonstrate your proactive approach and ability to contribute to the team’s success.
