Remote Data Operations Analyst - AI Finance Analytics

Finstock, Inc.; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Finstock, Inc. is seeking a detail-oriented Data Operations Analyst to support its AI-powered financial research, trading analytics, and market intelligence platforms. The role focuses on maintaining accurate, reliable datasets used for analytics and AI-assisted research.

The successful candidate will monitor data workflows, validate and reconcile financial information, and collaborate with Data Engineering, AI, Product, and Research teams in a fully remote environment.

Qualifications

• 2+ years in data operations, data analysis, BI, financial data, or related field.
• Strong SQL and advanced spreadsheet knowledge.
• Experience validating, reconciling, and troubleshooting structured datasets.
• Excellent written communication and documentation skills.
• Ability to work independently and remotely.

Responsibilities

• Monitor financial data feeds, pipelines, and dashboards to ensure reliable data delivery.
• Validate and reconcile market prices, fundamentals, and metadata.
• Identify missing, duplicated, or inconsistent data and coordinate fixes.
• Write SQL queries and use spreadsheets or scripts to resolve data-quality issues.
• Maintain data dictionaries, validation rules, and operational docs.
• Support onboarding and testing of new data sources and vendors.
• Communicate data limitations clearly to stakeholders.
• Track data-quality metrics and incident resolution times.
• Ensure data handling complies with security and privacy requirements.

Skills

SQL

Spreadsheets

Data validation

Documentation

Attention to detail

Remote collaboration

Education

Bachelor’s Degree in Data Analytics/Computer Science/Finance/Business

Tools

Python

APIs

BI tools

dbt

Data warehouses

Job description

Finstock, Inc. is seeking a detail-oriented Data Operations Analyst to support its AI-powered financial research, trading analytics, and market intelligence platforms. The role focuses on maintaining accurate, reliable datasets used for analytics and AI-assisted research.

The successful candidate will monitor data workflows, validate and reconcile financial information, and collaborate with Data Engineering, AI, Product, and Research teams in a fully remote environment.