Data Specialist

Forbes Technical Consulting; Chicago (IL); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Forbes Technical Consulting in Chicago is seeking a Data Specialist to support a growing product and listings organization. You will evaluate opportunities across sports, economics, finance, politics, and other major events, turning complex data into actionable insights.

You will build and maintain data pipelines, analyze large datasets, and produce clear reports for technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in CS/Statistics/Math/Data Science, Economics, or similar.
• 3–5 years of experience in Data Analytics, Data Science, or related roles.
• Proficient in Python or similar language and SQL.
• Experience retrieving, cleaning, and analyzing data from APIs and web sources.
• Ability to translate data into clear recommendations and reports.
• Experience building dashboards for non-technical stakeholders.

Responsibilities

• Manage and prioritize intake requests and data opportunities.
• Research data sources to support business decisions.
• Build and maintain programmatic data pipelines from APIs and web sources.
• Analyze large datasets to identify trends, opportunities, risks.
• Produce data-driven reports and recommendations for stakeholders.
• Track events across sports, economics, finance, politics, and markets.
• Create reusable dashboards and monitoring tools for decision making.
• Collaborate with product, engineering, and business teams on data infrastructure.
• Automate data gathering, analysis, and reporting workflows.
• Assist planning and delivery timelines with stakeholders.

Skills

Python

SQL

Data analysis

Data pipelines

APIs

Communication

Problem solving

Project management

Education

Bachelor's degree in a quantitative field

Tools

APIs

Job description

Location: Chicago, IL or New York City, NY

Work Arrangement: Hybrid - Tuesday, Wednesday, and Thursday in the office

Employment Type: Full-Time

Our client is a growing technology company operating at the intersection of data, financial markets, and real-world events. The organization is building a next-generation platform designed to turn real-world events into timely, data-driven insights.

We are seeking a highly analytical Data Specialist to support a growing product and listings organization. This person will play a critical role in evaluating opportunities across areas such as sports, economics, finance, politics, and other major events.

This is an excellent opportunity for someone who enjoys working with data, writing code, building automated data pipelines, and turning complex information into clear, actionable recommendations.

Responsibilities:

• Manage and evaluate incoming requests and help organize and prioritize the intake pipeline.
• Research and evaluate data sources needed to support new opportunities and business decisions.
• Build and maintain programmatic data pipelines to retrieve, clean, structure, and analyze data from APIs and other web-based sources.
• Analyze large and complex datasets to identify meaningful trends, opportunities, demand, and potential risks.
• Produce clear, data-driven reports and recommendations for technical and non-technical stakeholders.
• Track upcoming events, announcements, and other developments across sports, economics, finance, politics, and related markets.
• Build reusable frameworks, dashboards, and monitoring tools to support ongoing analysis and decision-making.
• Partner closely with product, engineering, and business teams to support data infrastructure and automation initiatives.
• Help automate data gathering, analysis, and reporting workflows.
• Collaborate with stakeholders to support planning, prioritization, and delivery timelines.

Required Skills:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, or another quantitative discipline.
• 3-5 years of experience in Data Analytics, Data Science, Quantitative Analysis, Data Engineering, or a similar role.
• Strong hands-on programming experience with Python or a similar language.
• Experience retrieving, cleaning, and analyzing data programmatically.
• Experience working with APIs and web-based data sources.
• Strong SQL skills and experience working with large and complex datasets.
• Ability to identify meaningful insights and translate data into clear recommendations.
• Experience creating reports, dashboards, or analyses for non-technical stakeholders.
• Strong problem-solving skills and attention to detail.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects and priorities in a fast-paced environment.

Preferred Skills:

Experience in one or more of the following areas is a plus:

• Financial services or trading
• Quantitative analysis
• Sports analytics or sports betting
• Market research
• Economics or financial data
• Data pipelines and automation

An interest in and familiarity with sports, economics, financial markets, elections, or current events is also highly valued.