At a Glance
- Tasks: Support onboarding, data management, and optimise workflows in a dynamic energy sector.
- Company: Join a leading company in the energy market with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Other info: Exciting chance to learn about energy flexibility and grid balancing.
- Why this job: Make an impact in the energy sector while developing your analytical skills.
- Qualifications: 1-3 years experience in relevant sectors and advanced Excel skills required.
They are looking for a sharp, data-driven Junior to Mid-Level Operations Analyst to support their growing portfolio. In this role, you will sit at the intersection of market operations, data management, and grid flexibility ensuring that assets are successfully onboarded, market submissions are executed flawlessly, and settlements are managed with absolute precision.
Customer & Asset Onboarding: Guide new clients and their assets through the registration pipeline, handling industry portals and market entries (e.g., MPANs and metering data).
Data Validation & Analysis: Audit, clean, and validate large datasets, ensuring absolute accuracy in asset performance and portfolio reporting. Resolve discrepancies, manage billing data, and support financial settlements. Build reporting tools and dashboards to track portfolio performance and identify operational bottlenecks. Streamline workflows and optimize internal data systems.
Experience: 1 to 3 years of commercial experience within the energy, utilities, settlements, metering, market operations, portfolio support, or trading operations sectors.
Excel Expertise: Advanced Excel skills are essential. You must be fully fluent in XLOOKUP, PivotTables, data validation, and handling large datasets.
Technical Bonus: Exposure to Power BI is strongly preferred; basic SQL or Python knowledge is a distinct advantage. High attention to detail, a talent for hitting tight deadlines, and a genuine eagerness to learn the nuances of energy flexibility and grid balancing.
Compensation: £42,000 – £46,000
Contract: 12-Month Fixed-Term Contract (FTC) Hybrid working model based out of a London office.
Entry Level Operations Analyst in London employer: Vallum Associates
Vallum Associates is an excellent employer, offering a dynamic work environment in Necton that prioritises safety and efficiency in major infrastructure projects. With a strong focus on employee growth, we provide opportunities for professional development and training in the electrical sector, fostering a culture of collaboration and innovation. Join us to be part of a team that values your contributions and supports your career advancement in a vital industry.
StudySmarter Expert Advice🤫
We think this is how you could land Entry Level Operations Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Vallum Associates before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Vallum Associates.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Vallum Associates.
We think you need these skills to ace Entry Level Operations Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Vallum Associates, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Vallum Associates, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Vallum Associates’s attention and show the tangible impact of your work.
How to prepare for a job interview at Vallum Associates
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Vallum Associates.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Vallum Associates.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Vallum Associates.
