Market Data Analyst

Forbes Technical Consulting; Chicago (IL); Hybrid; USD 70,000 - 90,000; Full time

Job summary

Forbes Technical Consulting LLC in Chicago seeks a data analytics professional to extract, clean, and interpret market data using Python and SQL. You will develop dashboards and reporting tools to monitor product performance and pipeline activity, and collaborate with cross-functional teams to support new product listings within a regulated environment.

The ideal candidate has a quantitative degree and 0–2 years of analytics experience, with strong Python/SQL skills and an interest in applying

Qualifications

• Bachelor's degree in a quantitative discipline.
• 0–2 years of professional analytics or data science experience.
• Strong Python and SQL proficiency.
• Experience with AI tools to improve efficiency.

Responsibilities

• Extract, clean, analyze, and interpret market data using Python and SQL.
• Develop dashboards and reporting tools to monitor product performance.
• Support product listings through regulatory and contract terms.
• Collaborate with engineering, product, operations, legal, and compliance teams.
• Identify opportunities to automate tasks and improve data accuracy.
• Research market opportunities across politics, economics, finance, and sports.
• Maintain product development calendars to prioritize opportunities.
• Support internal product management systems and processes.
• Learn and apply AI tools to improve data quality and efficiency.

Skills

Python

SQL

Data analysis

Data visualization

AI tools usage

Analytical thinking

Communication

Team collaboration

Financial markets interest

Education

Bachelor's degree in quantitative field

Job description

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.