Senior Associate - Commodities Data

The Commodities team is responsible for delivering high-quality pricing and fundamentals data, including physical assets, production and consumption metrics, trading flows, and market statistics that power both external customer products and internal research and forecasting teams.

This role sits at the intersection of content, technology, analytics, and quality assurance. You will translate business and analytical needs into robust functional specifications, lead complex content initiatives, and ensure datasets meet the highest standards of accuracy, completeness, and usability across LSEG's flagship platforms.

What This Role Delivers

• Scalable, well-defined commodities datasets
• High-quality, analytics-ready content supporting client insights
• Strong alignment between Content, Research, Technology, and Product teams
• Measurable improvements in data quality, testing coverage, and delivery efficiency

Key Responsibilities

Business Analysis & Content Onboarding

• Review and analyse business requirements for new projects and content initiatives.
• Research source data and draft functional and technical specifications for onboarding new commodities datasets and enhancing existing content.
• Translate customer needs into clear, testable, and scalable requirements, challenging existing processes where needed.
• Build deep domain expertise through ongoing engagement with Research, Forecast, Propositions, and external data providers.

Project Leadership & Delivery

• Lead large-scale content onboarding, enhancement, and migration initiatives from definition through delivery.
• Coordinate across Content, Technology, QA, and Business Delivery teams to ensure timely and accurate execution.
• Support migration and modernization programs by defining specifications for new platforms, tools, and infrastructure.
• Contribute to implementation planning, UAT coordination, post-release validation, and issue resolution.

Data Quality, Analytics & Testing

• Track and resolve complex data quality and data integration issues, analysing large datasets to identify root causes.
• Conduct data and analytics acceptance testing, including discrepancy analysis and common factor validation.
• Ensure robust test coverage across functional and non-functional requirements, improving confidence in product releases.
• Identify patterns in defects or customer feedback and drive preventative improvements.

Automation, Efficiency & Continuous Improvement

• Identify opportunities to increase automation efficiency and reduce test execution time.
• Develop efficient ways of working across content and testing processes.
• Contribute to building quality metrics, dashboards, and measurement frameworks that support data-driven decisions.
• Stay ahead with evolving content tools, workflows, and technologies, applying learning directly to delivery.

Engagement & Collaboration

• Act as a trusted partner to Research teams, Technology, Propositions, Product, and Content Management.
• Communicate effectively with interested parties at all levels, presenting findings, risks, and recommendations clearly.
• Operate independently while remaining a strong, collaborative team contributor.
• Mentor colleagues and share standard methodologies across content and quality disciplines where appropriate.

Required Skills & Experience

Core Capabilities

• Solid experience as a Business Analyst working in complex environments.
• Demonstrable ability to gather, document, and translate requirements into functional specifications.
• Exceptional analytical and problem-solving skills, with a high level of accuracy and attention to detail.
• Ability to manage complexity, think logically, and challenge assumptions constructively.
• Strong written, verbal, and presentation skills with confidence engaging senior audiences.
• Background in content testing and release management.
• Demonstrated ability to improve automation, tooling, or testing frameworks.
• Solid understanding of data management concepts, including data lineage, data governance frameworks, DBoR restructuring and migration initiatives, and system-to-system data connectivity.

Technical & Data Skills

• Advanced SQL skills, including complex queries and logical data validation checks.
• Experience working with large datasets without losing analytical clarity.
• Proficiency in Microsoft Excel, Power BI, and working knowledge of Python.
• Familiarity with LSEG products such as Workspace, Eikon, Data Scope Suite (DSS).

Benefits

• Healthcare
• Retirement planning
• Paid volunteering days
• Wellbeing initiatives