Data Operations Analyst

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools. The Data Operations Analyst will ensure the accuracy, completeness, and timely delivery of financial and market data by monitoring workflows, investigating discrepancies, maintaining data-quality controls, and collaborating with technical and research teams.

Responsibilities:

• Monitor financial data feeds, pipelines, scheduled jobs, and operational dashboards
• Validate and reconcile market prices, company fundamentals, filings, corporate actions, macroeconomic indicators, news, and research metadata
• Identify missing, duplicated, stale, or inconsistent data and coordinate root-cause resolution
• Write SQL queries and use spreadsheets or scripts to investigate data-quality issues
• Maintain validation rules, exception reports, data dictionaries, operational procedures, and incident records
• Support onboarding and testing of new data sources, APIs, and third-party vendors
• Respond to internal data requests and communicate data limitations clearly
• Track data-quality metrics, recurring incidents, resolution times, and service-level performance
• Ensure data usage follows applicable licensing, security, privacy, and confidentiality requirements

Requirements:

• 2+ years of experience in data operations, data analysis, business intelligence, financial data, or a related role
• Strong SQL and advanced spreadsheet skills
• Experience validating, reconciling, and troubleshooting structured datasets
• Strong attention to detail and ability to identify subtle data inconsistencies
• Clear written communication and process-documentation skills
• Ability to work independently and collaborate effectively in a remote environment
• Authorization to work in the United States
• Applicants must be authorized to work in the United States
• Experience in fintech, capital markets, investment research, market data, or financial services
• Familiarity with equities, ETFs, indices, FX, commodities, financial statements, filings, and corporate actions
• Working knowledge of Python, APIs, BI tools, dbt, or data warehouses
• Experience with data-quality monitoring, incident management, data governance, or vendor data feeds