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- Tasks: Support data quality and streamline operations in a dynamic energy sector.
- Company: Leading independent provider of analysis and tools for global energy change.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Great chance to learn and grow in a supportive environment.
- Why this job: Join a mission-driven team and make an impact on the future of energy.
- 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
Contact Detail:
Project Recruit Recruiting Team
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. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 3
Showcase your Excel skills! During interviews, be ready to discuss specific examples of how you've used Excel for data manipulation and analysis. Maybe even bring along a portfolio of your work if applicable!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data handling skills and attention to detail. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you've tackled data validation or quality control in the past. Let us see your problem-solving skills in action!
Showcase Your Excel Skills: Since proficiency in Excel is key for this role, don’t forget to mention any relevant projects or experiences where you’ve used Excel for data manipulation and analysis. We love seeing those skills in action!
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Project Recruit
✨Know Your Data
Before the interview, brush up on your understanding of data operations and financial datasets. Familiarise yourself with common data validation techniques and be ready to discuss how you've handled data discrepancies in the past.
✨Excel Skills on Display
Since proficiency in Microsoft Excel is crucial for this role, prepare to demonstrate your skills. You might be asked to solve a problem or analyse a dataset during the interview, so practice using Excel for data manipulation and analysis beforehand.
✨Problem-Solving Scenarios
Expect to face questions that assess your problem-solving abilities. Think of specific examples where you identified and resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Communication is Key
Strong communication skills are essential for collaborating with vendors and internal teams. Prepare to discuss how you've effectively communicated complex data issues in the past and how you would provide training and feedback to improve data delivery quality.