Data Operations Analyst

Data Operations Analyst

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 an Data Operations Analyst to join their team based in 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

Key Requirements

• 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

Good to have skills:

• 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.