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Tier-1 brand, generalist data analyst title, mid-level band, and broad technical skills increase competition.
Role requires finance-specific knowledge (US GAAP, Compustat) and data operations experience, limiting cross-industry fit.
Explicit 2-5 years plus finance-specific domain knowledge and technical stack requirements make screening stringent.
Lead data collection, extraction, cleansing, validation, and reconciliation for North America financial datasets (Compustat Fundamentals).
Own data integrity and delivery workflows, managing multiple stakeholder relationships including internal teams and external vendors.
Drive process improvement through automation using AI/LLM tools and programming (Python), and mentor junior team members on quality standards.
2-5 years of experience in financial data operations, research, or analytical roles with progression in responsibilities.
Bachelor's degree in Finance, Commerce, Economics, Accounting, or related field (Master's preferred).
Experience with AI/LLM tools (OpenAI, Hugging Face, LangChain), cloud platforms (AWS, Azure, Google Cloud), and programming languages (Python, R).
Proficiency in SQL/MySQL/PostgreSQL and knowledge of financial statements and US GAAP reporting standards.
Experienced in leading end-to-end financial data projects with strong operational ownership and quality focus.
Technical expertise in automation and data validation using AI/LLM technologies and programming in Python/R to enhance research efficiency.
Comfortable managing cross-functional collaborations and mentoring junior staff in a complex data environment focused on financial datasets.