Finstock, Inc.
Posted 71 days agoVerified live 11h ago
Data Operations Analyst
Brief overview
Remote
$55k–$75k/yrStated range
2+ yrsMinimum
SQLSpreadsheet skillsData validationData reconciliationData-quality monitoringIncident managementData governanceAPIsPythonBusiness intelligence toolsData warehousesFinancial dataMarket dataCompany fundamentalsCorporate actionsMacroeconomic indicatorsFinancial statements
About the company
Finstock, Inc.finstock.co
Finstock is an investment and trading support company specializing in providing personalized investment advisory services, in-depth financial analysis, and customized strategies to meet diverse client needs.
Job description
Summary
Finstock, Inc. builds AI-powered financial research and analytics tools, and they are seeking a detail-oriented Data Operations Analyst. The role involves monitoring and validating financial and market data to ensure accuracy and completeness while collaborating with various teams to maintain data quality and operational procedures.
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
Skills
- 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
- 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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- Remote work within the United States.
- Health, dental, and vision benefits.
- Paid time off and company holidays.
- Professional development opportunities.
- Direct exposure to financial data, AI research systems, and quantitative analytics.
