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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Market Data Analyst — Forbes Technical Consulting, Chicago, IL

Аналитика, Аналитика данных · 03.11.2026

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Компания: Forbes Technical Consulting

Локация: Chicago, IL

Формат: не указан

Занятость: Полная занятость

Грейд: Junior

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.

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