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Tier-1 brand, metro location and a common mid-level Business Analyst profile increase applicant competition.
Core data skills transfer broadly, but commodities and financial-data domain knowledge raises industry specificity.
Advanced SQL, Power BI, Python and data governance requirements make technical fit highly selective.
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Lead end-to-end business analysis and content onboarding for commodities datasets, including drafting functional and technical specifications.
Manage large-scale content initiatives, coordinating between Content, Technology, QA, and Business Delivery teams to ensure accurate and timely delivery.
Drive improvements in data quality, testing coverage, and automation efficiency for commodities data supporting LSEG platforms.
Experience Required: Solid experience as a Business Analyst in complex environments.
Advanced SQL skills with ability to handle large datasets and perform logical data validation.
Proficiency in Microsoft Excel and Power BI; working knowledge of Python.
Not explicitly mentioned in the JD: Notice period, educational qualifications, strict domain certifications, or onsite location requirements.
Experienced in content testing, release management, and data management concepts including data lineage and governance frameworks.
Proven ability to engage cross-functional teams and senior stakeholders in technical and business discussions.
Strong background working with commodities or financial datasets, familiar with LSEG products like Workspace, Eikon, and Data Scope Suite (DSS).