Data Operations Analyst

Overview

Finstock, Inc. is looking for a meticulous Data Operations Analyst to join their remote United States-based team. The role focuses on ensuring the accuracy, completeness, and timely delivery of various financial and market data used for analytics and AI-driven research platforms.

Key Responsibilities

• Supervise financial data pipelines, feeds, scheduled job executions, and operational monitoring dashboards.
• Verify and reconcile multiple data types including market prices, company fundamentals, regulatory filings, corporate actions, economic indicators, news, and research metadata.
• Detect and address missing, duplicate, outdated, or inconsistent data issues and lead efforts to find root causes.
• Create and run SQL queries, utilize spreadsheets and scripting tools to analyze data quality problems.
• Develop and maintain validation criteria, exception reporting, data glossaries, procedural documentation, and incident logs.
• Assist with onboarding and quality testing for new data sources, vendor APIs, and third-party integrations.
• Provide prompt and clear communication about data quality and availability to internal teams.
• Monitor metrics related to data quality, incident frequency, resolution durations, and service level agreements.
• Ensure compliance with licensing, security protocols, privacy policies, and confidentiality regulations regarding data usage.

Required Qualifications

• Minimum 2 years of experience related to data operations, data analysis, business intelligence, or financial data management.
• Advanced proficiency in SQL and spreadsheet applications.
• Practical experience in validating, reconciling, and troubleshooting structured datasets.
• Exceptional attention to detail with the capability to identify subtle inconsistencies.
• Strong written communication and experience documenting processes.
• Ability to work independently and collaborate effectively within a remote setting.
• Authorized to work legally in the United States.

Preferred Qualifications

• Background in fintech, capital markets, investment research, or financial services.
• Knowledge of equities, ETFs, indices, foreign exchange, commodities, financial statements, regulatory filings, and corporate actions.
• Familiarity with Python, API usage, business intelligence tools, data build tool (dbt), or data warehousing technologies.
• Experience with data quality monitoring systems, incident management, data governance, and handling vendor data feeds.

Compensation and Benefits

• Annual salary range of $55,000 to $75,000 USD.
• Fully remote work option within the United States.
• Comprehensive health, dental, and vision insurance coverage.
• Paid leave, including vacation and company holidays.
• Opportunities for professional growth and development.
• Involvement with advanced financial datasets, AI-based research tools, and quantitative analytics.

Employment Terms and Additional Information

The selected candidate will report directly to the Data Engineering Lead and be engaged full-time. This position strictly involves support for financial research infrastructure, data quality assurance, analytics, and internal workflows. It does not include providing personal investment advice, executing trades, handling client funds, or engaging in financial asset management. Usage of unauthorized data sources or violation of licensing terms is prohibited. Applicants must be authorized to work in the U.S. as no visa sponsorship or immigration assistance will be provided.

Equal Opportunity Employer Statement

Finstock, Inc. is committed to equal employment opportunities, taking hiring decisions based on qualifications, experience, and applicable laws, without discrimination on the basis of protected characteristics such as age, gender, ethnicity, disability, or veteran status.