Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, generalist Business Analyst title, and broad mid-level data skillset increase competition.
Transferable analytics skills but preference for commodities and financial data yields medium background sensitivity.
Strong mandatory technical skills (advanced SQL, Power BI, Python) and domain expertise drive medium strictness.
Own end-to-end business analysis and content onboarding for commodities datasets, ensuring scalability and alignment across internal teams.
Lead large-scale content initiatives, coordinating with Technology, QA, and Business Delivery to ensure timely, high-quality delivery on LSEG platforms.
Drive data quality improvements through analytic testing, automation, and continuous process improvement to enhance product reliability and efficiency.
Experience as a Business Analyst in complex data or analytics environments.
Advanced SQL skills and proficiency with large datasets; familiarity with Microsoft Excel, Power BI, and Python.
Strong background in content testing, release management, and data management concepts including lineage and governance.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging business, research, and technology teams within financial data or commodities domains.
Capable of leading and delivering complex data onboarding and migration projects with measurable quality improvements.
Demonstrates strong analytical rigor with hands-on skills in data validation, automation, and tooling enhancements.