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RemoteFull-timeUnited StatesSQL / Data Quality
Finstock Careers
Data Operations Analyst
Monitor, validate and reconcile financial and market data while maintaining data-quality controls, operational procedures and reliable datasets for analytics and AI-assisted research.
Remote — United States Full-time employee USD $55,000–$75,000 per year
Data operations workspace
Department
Data Operations
Location
Remote — United States
Employment type
Full-time employee
Expected commitment
Full-time
Base salary
USD $55,000–$75,000 per year
Reporting line
Data Engineering Lead
About Finstock, Inc.
Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for analysts, research teams, and institutional users.
About The Role
Finstock is seeking a detail-oriented Data Operations Analyst to ensure the accuracy, completeness, and timely delivery of financial and market data across our research platform.
You will monitor data workflows, investigate discrepancies, perform reconciliations, maintain data-quality controls, and collaborate with Data Engineering, AI, Product, and Research teams to deliver reliable datasets for analytics and AI-assisted research.
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.
- Ensure data usage follows applicable licensing, security, privacy, and confidentiality requirements.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
What We Offer
- Competitive base salary of USD $55,000–$75,000 per year.
- 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.
Employment Eligibility
Applicants must be authorized to work in the United States. This posting does not promise visa sponsorship or immigration support.
Important Role Boundaries
This is a data-operations role supporting financial research infrastructure, data quality, analytics and internal operational workflows.
The role does not require or permit the employee to:
- Provide personalized investment, legal, tax, accounting, or financial advice to users or clients.
- Recommend that any individual buy, sell, or hold a financial instrument based on personal circumstances.
- Execute trades or manage client funds.
- Handle client assets, deposits, withdrawals, or payments.
- Promise or imply investment returns, trading profits, or risk-free outcomes.
- Use unauthorized data sources, violate third-party data terms, or bypass licensing restrictions.
- Request applicants to pay an application fee, training fee, software fee, equipment fee, or onboarding fee.
Equal Opportunity Statement
Finstock, Inc. is an equal opportunity employer. Employment decisions are based on qualifications, experience, skills, work quality, availability, business requirements, and applicable legal requirements. Finstock, Inc. does not make hiring decisions based on age, gender, gender identity, religion, ethnicity, race, national origin, disability, sexual orientation, marital status, family status, veteran status, or any other status protected by applicable law.
Role Application
Apply for this role
Submit your information for the Data Operations Analyst role.
Open
Full name *
Email address *
Country / region *
Current city / time zone *
LinkedIn profile URL *
Resume/CV link or portfolio link *
Are you currently authorized to work in the United States? *
Years of data operations, data analysis, business intelligence, or financial data experience *Select experience rangeLess than 3 years3-5 years5-8 years8+ years
Current or most recent role *
Expected annual compensation *
Availability / earliest start date *
Describe your experience monitoring, validating or reconciling structured datasets. *
Describe a data-quality issue you investigated, including how you identified the root cause and verified the resolution. *
What SQL, spreadsheet, scripting, BI or data-warehouse tools have you used in your work? *
Have you worked with market data, company fundamentals, filings, corporate actions, macroeconomic indicators or financial datasets? Explain briefly. *
Describe your experience documenting validation rules, exception handling, incidents or operational procedures. *
Finance credentials
Additional notes
I confirm that the information I provide is accurate and that I understand this role does not involve giving personalized investment advice, executing trades, managing client funds, or using unauthorized data sources or bypassing licensing, security, privacy, or confidentiality requirements.I acknowledge that I have read the Applicant Privacy Notice.I would like Finstock, Inc. to retain my application for consideration for future roles where permitted by applicable law.
Role summary
Open
Company Finstock, Inc.
Location Remote — United States
Workplace type Remote
Employment type Full-time employee
Expected commitment Full-time
Base salary USD $55,000–$75,000 per year
Reporting line Data Engineering Lead
Experience level Associate / Mid-level
Status Open
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