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Data Analytics Associate Jobs in Illinois (NOW HIRING)

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Data Analytics Associate information

See Illinois salary details

$3.1K

$6.1K

$8.7K

How much do data analytics associate jobs pay per month?

As of Sep 4, 2026, the average monthly pay for data analytics associate in Illinois is $6,095.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,533.33 and $6,500.00 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

The most popular types of Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Data Analytics Associate jobs?

Cities in Illinois with the most Data Analytics Associate job openings:

Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,149 per year, or $35.2 per hour.

Senior Associate, Analytics

Chicago Atlantic Advisers LLC

Chicago, IL • On-site

Full-time

Re-posted 13 hours ago

Job description

Description:

Chicago Atlantic is a private markets alternative investment manager focused on industries and companies where demand for capital exceeds traditional supply. The firm’s investment strategies include opportunistic private credit and equity with focuses on loans to esoteric industries, specialty asset-based loans, liquidity solutions and growth and technology finance. Chicago Atlantic has closed over $3.3 billion in credit facilities. Chicago Atlantic’s team of over 100 professionals has offices in Chicago, Miami, New York and London. For more information on Chicago Atlantic’s investment opportunities and financing products, visit chicagoatlantic.com. 


The Senior Associate, Analytics position will play a critical role in developing data acquisition methods and visualizations that enable data-informed decision-making and operational insights across the firm. The ideal candidate combines technical analytics expertise with strong business acumen to support investment and operational strategies.

Requirements:

What You'll be Doing:

  • Aggregate, organize, and transform data from multiple platforms and systems to develop or improve model accuracy and reporting efficiency.
  • Design, build, and maintain data pipelines and transformation layers to ensure data accuracy and completeness.
  • Develop and maintain QlikSense dashboards and reports to visualize performance and deliver actionable insights to business stakeholders.
  • Build, maintain, and calibrate business and forecasting models to support operational planning and executive decision-making.
  • Collaborate closely with portfolio company executives and directors to ensure analytics are accurate, comprehensive, and focused on value creation. Identify and track key operational drivers and maintain KPI reporting.
  • Support monthly operating reviews by analyzing financial and operational trends and highlighting insights.
  • Conduct ad hoc analyses across departments and present findings clearly to executive stakeholders.
  • Collaborate cross-functionally to align analytics outputs with business priorities and promote data-driven practices across teams.

What You'll Bring:

  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Finance, Accounting, or Economics).
  • 3–5+ years of experience in data analytics, business intelligence, or financial analysis.
  • Proficiency in Qlik is required. Experience developing Qlik applications, data models, and visualizations is strongly preferred.
  • Advanced Excel skills are a plus.
  • Strong SQL skills and familiarity with other analytics tools or programming languages.
  • Experience applying quantitative and statistical methods to solve business problems.
  • Ability to communicate technical analysis clearly to senior management and non-technical audiences.
  • Strong financial and accounting acumen, with attention to accuracy and deadlines.

Tools We Use:

  • Languages: SQL, Qlik, VBA, JSON
  • Software: QlikSense, Excel, Microsoft Dynamics 365 Business Central, Power Automate, Postman, Databricks