Data Analytics Co-Op
US$30 – US$34 / hr base salary
Posted 24 Aug 2026
Advertised as “ Data Analytics Co-Op”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Internship
| Base salary | US$30 – US$34 / hr |
|---|
Field of studyAccounting, Analytics Engineering, Finance (or related)
Study levelBachelor's or higher
Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.
For more information, visit www.audaxgroup.com or follow Audax Group on LinkedIn.
CO-OP/Intern Cycle: January - June 2027
Anticipated Start & End Date: January 4, 2027, to June 25, 2027 (flexible based on school requirements)
Location: Boston, MA
Office Requirements: 3-4 days in office
Team: Business Solutions
POSITION SUMMARY:
Audax is looking for a dynamic, motivated Data Analyst CO-OP to join the business solutions team. This position will be responsible for supporting the company’s Business Intelligence (“BI”) strategy with hands-on experience in data analytics, data modeling, and Business Intelligence. You will collaborate with the business intelligence, finance, strategic resources, and deal teams to design, develop, and maintain data models, ensure data quality and integrity, and contribute to the expansion of the company’s BI strategy.
RESPONSIBILITIES:
Designing, implementing, maintaining and scaling Audax’s BI reporting and Semantic Layer
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Support Business Solutions and other strategic resources functions with Power BI and Data Analytics development.
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Work with professionals to scale the semantic layer within the company’s cloud enterprise data warehouse.
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Play an integral role in designing ETL processes and analytic pipelines for investment professionals.
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Assist with implementation of data governance policies, including data cataloging and data lineage.
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Provide data validation and data quality assessments.
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Identify and resolve data anomalies.
COMPETENCIES:
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Proficient in Power BI and SQL required.
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Experience designing and implementing optimal data models.