Market Data Analyst - AI Insights & Product Launches

Forbes Technical Consulting LLC; 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

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