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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 relevant field.
The predicted salary is between 30000 - 40000 £ 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 in City of London employer: Project Recruit
Contact Detail:
Project Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Analyst in City of London
✨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 and scenarios related to data operations. 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 will give you an edge and demonstrate your capabilities beyond just words.
✨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 in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Operations Analyst role. Highlight your data handling skills, attention to detail, and any relevant experience with Excel or financial datasets. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your skills align with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled data discrepancies or improved processes. We’re looking for proactive thinkers who can help us streamline our workflows.
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 – just a few clicks and you’re done!
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 tools like Excel, as you'll likely be asked to demonstrate your proficiency in these areas.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled data discrepancies or quality issues in the past. Be ready to discuss your thought process and the steps you took to resolve these problems, as this will highlight your analytical abilities.
✨Communicate Clearly
Since the role involves collaboration with vendors and internal teams, practice articulating your thoughts clearly. Think about how you would explain complex data concepts to someone without a technical background, as effective communication is key.
✨Emphasise Process Improvement
Demonstrate your proactive mindset by discussing any experiences you have with process improvements or automation. Share specific examples where you contributed to streamlining workflows, as this aligns perfectly with the company's goals.