Data Analyst, Operations

About the Company

Finstock, Inc. is a forward-thinking organization specializing in AI-powered financial research, trading analytics, quantitative research, and market intelligence tools. Our mission is to empower analysts, research teams, and institutional users with innovative solutions that enhance decision-making and operational efficiency. We leverage cutting-edge technology and data science to deliver reliable, insightful, and actionable financial data and analytics, supporting our clients in navigating complex markets with confidence.

About the Role

We are seeking a detail-oriented Data Operations Analyst to join our remote team in the United States. This role is pivotal in ensuring the integrity, accuracy, and timely delivery of financial and market data across our research platform. The successful candidate will monitor data workflows, validate datasets, investigate discrepancies, and maintain data-quality controls. Collaborating closely with Data Engineering, AI, Product, and Research teams, you will help deliver high-quality datasets that underpin our analytics and AI-assisted research initiatives. This position offers an exciting opportunity to work within a dynamic environment where your attention to detail directly impacts the quality of insights generated for our clients.

Qualifications

• Minimum of 2+ years of experience in data operations, data analysis, business intelligence, financial data, or a related field.
• Proficiency in SQL with the ability to write complex queries for data validation and troubleshooting.
• Advanced skills in spreadsheets and familiarity with scripting tools for data investigation.
• Experience validating, reconciling, and troubleshooting structured datasets.
• Strong attention to detail with the ability to identify subtle data inconsistencies.
• Excellent written communication skills and experience documenting processes and procedures.
• Ability to work independently and collaboratively in a remote environment.
• Authorization to work legally in the United States.

Responsibilities

• Monitor financial data feeds, pipelines, scheduled jobs, and operational dashboards to ensure smooth data flow.
• 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 analysis and resolution.
• Develop and execute SQL queries and scripts to investigate and resolve data-quality issues.
• Maintain validation rules, exception reports, data dictionaries, operational procedures, and incident records.
• Support onboarding, testing, and integration of new data sources, APIs, and third-party vendors.
• Respond promptly to internal data requests, clearly communicating data limitations and insights.
• Track data-quality metrics, recurring incidents, resolution times, and service-level performance to ensure continuous improvement.
• Ensure compliance with licensing, security, privacy, and confidentiality standards governing data usage.

Benefits

• Competitive annual salary ranging from USD $55,000 to $75,000.
• Remote work flexibility within the United States.
• Comprehensive health, dental, and vision insurance plans.
• Paid time off and company-recognized holidays.
• Exposure to cutting-edge financial data, AI research systems, and quantitative analytics.
• Opportunities for professional growth and development within an innovative environment.