At a Glance
- Tasks: Support data quality and streamline operations in a dynamic energy sector.
- Company: Leading independent provider of analysis and tools for global energy decision-makers.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Great chance to improve processes and work with diverse teams.
- Why this job: Join a team driving change in the energy system while honing your data skills.
- Qualifications: Detail-oriented with strong Excel skills and a degree in a related field.
The predicted salary is between 35000 - 45000 € per year.
Our client, a world-leading independent provider of analysis, data, research, and tools to decision-makers driving change in the global energy system, is seeking a Data Operations Analyst to join their team based in the city of London. This role is focused on maintaining operational continuity across core data workflows during a period of transition, including automation and operating model improvements. The successful candidate will play a key role in supporting data quality, validation, and day-to-day operational processes including repetitive and process-driven tasks while contributing to a more streamlined and automated future state. This is a 24-month hybrid contract role based in London. The successful candidate will be required to work onsite five days per week during the initial two-week training period, followed by remote working thereafter.
The ideal candidate must be a detail-oriented and reliable data professional with strong Excel and data-handling skills, capable of performing accurate data validation and quality control in a process-driven environment. They should have a basic understanding of financial or structured data, strong problem-solving abilities to identify and resolve discrepancies, and clear communication skills to collaborate with vendors and internal teams.
Key Responsibilities- Manage vendor escalations and perform manual data updates where required
- Conduct dataset quality control, validation, and oversee vendor QC processes
- Perform root cause analysis and troubleshoot data discrepancies
- Provide training and guidance to vendors to improve data delivery quality
- Support internal and external users with dataset-related queries
- Ensure accuracy and consistency across datasets through regular checks
- Contribute to ongoing process improvements and workflow stabilization
- Strong attention to detail, particularly in data validation and quality checks
- Proficiency in Microsoft Excel (data manipulation and analysis)
- Intermediate understanding of financial/data concepts
- Strong problem-solving skills with the ability to identify and resolve discrepancies
- Ability to manage repetitive, process-driven tasks with high accuracy
- Strong communication skills for working with vendors and cross-functional teams
- Ability to provide structured feedback and training
- Proactive mindset with strong ownership and follow-through
- Degree (or expected within one year) in Business, Finance, Data, or a related field
- Reliable internet connectivity for remote work when required
- Own laptop or PC
- Exposure to data operations or financial datasets
- Interest in process improvement and automation
- Familiarity with tools or concepts such as ARD, STP pipelines, or LLM-based systems
We are an equal opportunities employer and welcome applicants from all sections of the community, regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation, and transgender status.
Data Operations Analyst employer: Project Recruit
As a world-leading independent provider in the energy sector, our client offers an exceptional work environment in London that fosters innovation and collaboration. Employees benefit from a hybrid working model, competitive remuneration, and opportunities for professional growth, all while contributing to meaningful projects that drive change in the global energy system. The company values diversity and inclusion, ensuring that every team member feels valued and empowered to make a difference.
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 industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data operations. Think about your past experiences and how they relate to the role. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio or a project that highlights your data handling and Excel prowess. This can really set you apart from other candidates and give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Data Operations Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights the skills and experiences that match the Data Operations Analyst role. We want to see your strong Excel skills and any experience with data validation or quality control front and centre!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role, focusing on your problem-solving abilities and attention to detail. Let us know how you can contribute to our mission of improving data workflows.
Showcase Relevant Experience:When detailing your past roles, emphasise any experience with data operations or financial datasets. If you've worked on process improvements or automation projects, we want to hear about it!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Project Recruit
✨Know Your Data Inside Out
Make sure you brush up on your data handling skills, especially in Excel. Be prepared to discuss how you've managed data validation and quality control in previous roles. This will show that you understand the importance of accuracy in a process-driven environment.
✨Show Off Your Problem-Solving Skills
Think of specific examples where you've identified and resolved discrepancies in data. Be ready to explain your thought process and the steps you took to troubleshoot issues. This will demonstrate your analytical abilities and proactive mindset.
✨Communicate Clearly and Confidently
Since you'll be collaborating with vendors and internal teams, practice articulating your thoughts clearly. Prepare to discuss how you've provided structured feedback or training in the past. Good communication is key in this role!
✨Embrace Process Improvement
Show your enthusiasm for automation and process improvement. Think about any experiences you've had with streamlining workflows or implementing new tools. This will highlight your interest in contributing to a more efficient future state.
