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Market Data Analyst

$70k - $90k

Forbes Technical Consulting

Product & Market Data Analyst

Location: Chicago, IL

Work Arrangement: Hybrid – 3 days onsite

Compensation: $70,000–$90,000 annually

Employment Type: Full-Time

Responsibilities

  • Use Python and SQL to extract, clean, analyze, and interpret market data, including trading volume, liquidity, and participant activity.
  • Develop and maintain scripts, dashboards, and reporting tools to monitor product performance and pipeline activity.
  • Leverage programming and AI tools to generate, validate, and quality-check product metadata, contract specifications, and related data.
  • Support the preparation and development of new product listings, from initial concept through regulatory review, legal approval, and finalization of contract terms.
  • Research upcoming events and market opportunities across politics, economics, finance, sports, and other relevant industries.
  • Monitor and maintain product development calendars to identify and prioritize potential market opportunities.
  • Collaborate with engineering, product, operations, legal, and compliance teams to coordinate product launches.
  • Support internal product management systems and learn the processes involved in bringing new products to market within a regulated environment.
  • Identify opportunities to automate repetitive tasks and improve data accuracy, reporting, and overall workflow efficiency.

Required Skills

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, or a related quantitative discipline.
  • 0–2 years of professional experience in analytics, data science, product analysis, or a related field.
  • Strong proficiency in Python and SQL.
  • Familiarity with data analysis libraries and data visualization tools.
  • Strong analytical and problem-solving skills, with the ability to translate raw data into meaningful business insights.
  • Experience using AI tools to improve efficiency, or a demonstrated interest in applying AI to research, analysis, automation, and documentation.
  • Genuine interest in financial markets, financial products, derivatives, or emerging market technologies.
  • Exceptional attention to detail, particularly when working with data validation, documentation, and complex information.
  • Strong communication skills and the ability to collaborate across technical and nontechnical teams.

Preferred Skills

  • Exposure to financial exchanges, trading environments, derivatives, event-based contracts, or regulated financial products.
  • Experience working with automation, data quality processes, or product development workflows.

Vacancy posted 7 days ago
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