Data Operations Analyst

Finstock, Inc.; Northern (KY); Hybrid; USD 55,000 - 75,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Remote work within the United States

Paid time off

Job summary

Finstock, Inc. is seeking a Data Operations Analyst to ensure accuracy and timeliness of financial and market data across our research platform.

This remote role collaborates with Data Engineering, AI, Product, and Research teams to deliver reliable datasets for analytics and AI-assisted research. The successful candidate will monitor data workflows, perform reconciliations, maintain data-quality controls, and respond to internal data requests in a fast-paced remote environment in the United

Qualifications

• 2+ years of experience in data operations or a related role.
• Strong SQL and advanced spreadsheet skills.
• Experience validating, reconciling, and troubleshooting structured datasets.
• Attention to detail and ability to identify data inconsistencies.
• Clear written communication and documentation skills.
• Ability to work independently and remotely in a team.
• Authorization to work in the United States.

Responsibilities

• Monitor financial data feeds, pipelines, and dashboards.
• Validate and reconcile market data, company fundamentals, filings, and metadata.
• Identify missing, duplicated, or inconsistent data and drive root-cause resolution.
• Write SQL queries and use spreadsheets or scripts to investigate data issues.
• Maintain validation rules, reports, data dictionaries, and incident records.
• Support onboarding and testing of new data sources and APIs.
• Respond to internal data requests and communicate data limitations clearly.
• Track data-quality metrics, incidents, and SLA performance.
• Ensure data usage complies with licensing, security, and privacy rules.

Skills

SQL

Data operations

Data analysis

Business intelligence

Clear communication

Tools

Python

APIs

BI tools

dbt

Data warehouses

Job description

Remote Full-time United States SQL / Data Quality

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

Expected commitment

Full-time

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.
• Direct exposure to financial data, AI research systems, and quantitative analytics.

Applicants must be authorized to work in the United States. This posting does not promise visa sponsorship or immigration support.

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.