Data Operations Analyst

About the role

Finstock, Inc. is seeking a detail‑oriented Data Operations Analyst to ensure the accuracy, completeness, and timely delivery of financial and market data for its AI‑powered research platform. The role is fully remote within the United States and involves close collaboration with Data Engineering, AI, Product, and Research teams.

Key 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.

Required profile

• 2+ years of experience in data operations, data analysis, business intelligence or financial data.
• Bachelor’s degree in Data Analytics, Computer Science, Finance, Business or a related field (or equivalent experience).
• Strong attention to detail with the ability to spot subtle data inconsistencies.
• Clear written communication and process‑documentation skills.
• Ability to work independently and collaborate effectively in a remote environment.

Required skills

• SQL
• Advanced spreadsheet skills (e.g., Excel)
• Python (preferred)
• APIs
• BI tools
• dbt
• Data warehouses

What we offer

• Competitive base salary of USD 55,000–75,000 per year.
• Fully remote work within the United States.
• Health, dental and vision benefits.
• Paid time off and company holidays.
• Professional development opportunities.