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Freelance Data Analyst Developer Jobs in Illinois

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

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Freelance Data Analyst Developer information

What is the difference between Freelance Data Analyst Developer vs Freelance Data Scientist?

AspectFreelance Data Analyst DeveloperFreelance Data Scientist
CredentialsTypically requires data analysis, programming, and database skills; certifications like Microsoft Data Analyst or SQL certifications are common.Requires advanced statistical, machine learning, and programming skills; certifications like Certified Data Scientist or Python/R expertise are common.
Work EnvironmentOften works on project-based tasks involving data cleaning, visualization, and reporting for clients across industries.Focuses on predictive modeling, complex analytics, and research-driven projects for diverse sectors.
Employer & Industry UsageFreelance Data Analyst Developers are hired by businesses needing data insights and reporting.Freelance Data Scientists are engaged for advanced analytics, AI, and machine learning solutions.

While both roles involve data work, Freelance Data Analyst Developers focus on data processing and visualization, whereas Freelance Data Scientists handle complex modeling and predictive analytics. The choice depends on project complexity and required expertise.

What are the most commonly searched types of Data Analyst Developer jobs in Illinois?

The most popular types of Data Analyst Developer jobs in Illinois are:

What cities in Illinois are hiring for Freelance Data Analyst Developer jobs?

Cities in Illinois with the most Freelance Data Analyst Developer job openings:

Front Office Analyst Developer

Techvilla Solutions

La Grange Park, IL

Full-time

Posted 6 days ago


Job description

We are seeking an experienced Front Office Analyst Developer with 8–10 years of experience supporting trading analytics and front-office technology. The ideal candidate will combine business analysis, data analysis, and technical development skills to support trading workflows, build analytical solutions, and collaborate with business and technology teams to enhance trading platforms.

Key Responsibilities
  • Partner with front-office users to understand business requirements and improve trading workflows.
  • Deliver user training, onboarding, and support for trading analytics tools and platforms.
  • Develop analytical utilities and workflow enhancements using Python, SQL, and Excel/VBA.
  • Analyze large datasets, including market data, pricing, forward curves, and trading analytics.
  • Build dashboards and reports using Power BI, Plotly, or similar visualization tools.
  • Integrate data from multiple sources using APIs and data pipelines.
  • Gather user feedback, document business requirements, and collaborate with development teams to deliver enhancements.
  • Participate in Agile ceremonies and support testing, issue resolution, and production support.
Required Qualifications
  • 8–10 years of experience in front-office technology, trading analytics, business analysis, or data analysis.
  • Experience supporting trading, commodities, or energy markets.
  • Strong programming skills in Python.
  • Hands-on experience with SQL, Excel/VBA, and large-scale data analysis.
  • Experience with Power BI, Plotly, Dataiku, or similar analytics tools.
  • Knowledge of APIs, data integration, and data pipelines.
  • Strong analytical, communication, stakeholder management, and problem-solving skills.
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, or a related quantitative field.
Preferred Qualifications
  • Experience with commodity trading analytics, risk management, or supply and demand modeling.
  • Knowledge of ETL processes and workflow orchestration.
  • Experience with AWS, SQL Server, or cloud-based analytics platforms.
  • Familiarity with Agile methodologies and front-office application support.