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Popular mid-level data analyst role, metro location, and unspecified experience increase candidate competition.
Core data validation skills are transferable, though mutual-fund domain knowledge favors finance backgrounds.
No explicit years or niche tech requirements; degree and communication skills are primary filters.
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Ensure accuracy and timely updating of mutual fund data within internal databases.
Review and validate AI-extracted financial data against original source documents to maintain data quality.
Communicate progress and issues regularly with team leads and stakeholders, and produce project reports as needed.
Bachelor’s degree in Commerce, Mathematics, Statistics, or related discipline.
Strong written and verbal English communication skills.
Demonstrated analytical thinking, problem-solving skills, and attention to detail.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data validation and quality assurance processes, particularly in financial or mutual fund data.
Comfortable working collaboratively within global teams and communicating progress effectively.
Capable of managing detailed data extraction targets and proactively reporting process issues.