Data Analyst — Market Data and Analytics

This is a remote role open to candidates who live in Texas. You can work from anywhere in the state.

MarketCatalyst runs on 38 scheduled ingestion pipelines that pull pricing, fundamentals, estimates, ratings, ownership and macro data into a single company record. You'll keep that data trustworthy, measure how the product and site are used, and turn our data into original studies people want to cite.

About the company

MarketCatalyst (https://marketcatalyst.ai) is an AI-powered stock market research terminal for traders and investors: 16 workspaces covering movers, earnings, analyst actions, macro, SEC EDGAR insider and 13F ownership, ETFs, IPOs, screeners and AI recaps, plus a per-ticker Stock Intelligence view. Its content is generated by automated AI pipelines over sourced market data. It is a research and information platform that does not offer trade signals or investment advice. We're early-stage and founder-led, with a free tier and Pro ($29) and Elite ($79) plans.

What you'll do

• Monitor and improve the pipelines that ingest market feeds, fundamentals and SEC EDGAR filings (Form 4, 13F), working with engineering on fixes.
• Build data-quality checks for missing tickers, stale prices, unit and currency mismatches, duplicate filings, split adjustments and identifiers that don't reconcile across vendors.
• Write SQL and Python to answer product questions: which workspaces people use, where free users upgrade, and which recaps and pages bring readers back.
• Own dashboards for data health, product usage and SEO and traffic (Google Search Console, analytics, indexing and crawl coverage).
• Produce original, reproducible data studies for the blog and press, such as insider buying by sector, earnings reaction patterns or analyst rating clusters, with methods published alongside.
• Document data definitions so research, AI and engineering use the same numbers.

What you bring

• 6+ years as a data analyst, analytics engineer or similar, ideally working with financial or market data.
• Strong SQL, including window functions and joins across messy sources, and practical Python (pandas or polars).
• Experience building and maintaining dashboards in a BI tool (e.g. Metabase, Looker Studio, Tableau, or similar).
• Understanding of market-data basics: OHLCV, corporate actions, tickers versus identifiers, trading calendars and delayed versus real-time data.
• A track record of finding and fixing data-quality problems rather than working around them.
• Clear written communication: you can explain a chart and its caveats in a paragraph.

Nice to have

• Hands-on experience with SEC EDGAR data (XBRL, Form 4 XML, 13F information tables).
• Experience with Google Search Console, GA4 or other web analytics, and basic technical SEO.
• Familiarity with orchestration and testing tools (e.g. Airflow, Dagster, dbt tests, Great Expectations).
• Experience publishing data journalism or research others have cited.

What we offer

• Compensation: $80,000–$120,000 per year
• Equity may be offered to the right candidate.
• Paid time off and flexible hours.
• Ownership of the data layer behind every screen and AI read in the product.

How to apply

See the full role and apply at https://marketcatalyst.ai/careers, or send your resume to [email protected] with the subject "Application: Data Analyst".

Equal opportunity

MarketCatalyst Analytics LLC is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information or any other status protected by applicable law. If you need an accommodation during the application process, email [email protected].