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

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