Senior Associate, Data & Analytics - Remote

The CFO of a dynamic, PE backed, $300MM medical practice group asked HireneXus to support them and the Director of Data & Analytics in their search for a Senior Associate. This team member will report to the Director of Data & Analytics and own various workstreams together with functional leaders. The right person would have the skills and experience necessary do great data analysis, and a good background in the multisite service provider business.

Key Responsibilities:

• Analytics Product Development: Design, build, and continuously improve scalable analytics products to monitor client growth, retention, and value KPIs, incorporating user feedback.
• Performance Insights: Identify and communicate performance trends, focusing on root causes and opportunities for growth to inform business decisions and initiatives.
• Thought Leadership: Establish and promote innovative analytics methodologies.
• KPI Management: Define KPIs, measure their performance, and design supporting data models.
• Data Pipeline Integration: Collaborate with the data engineering team to implement data pipelines for analytics products.
• Training and Adoption: Develop and implement training programs to increase tool adoption, using feedback to refine processes.
• Cross-functional Collaboration: Build strong relationships with functional groups, leveraging expertise and a passion for learning and service.
• Ad Hoc Analysis: Conduct ad hoc analytical projects for the leadership team to drive business value.

Requirements:

• 3 years of post-undergrad experience in data and analytics.
• Must be authorized to work in the United States without visa sponsorship.
• High-energy, humble team player with exceptional communication skills and a proactive, collaborative approach.
• Strong intellectual curiosity and business acumen to understand growth drivers.
• Excellent data modeling and analytical skills, capable of translating business questions into technical solutions.
• Highly organized, detail-oriented, and committed to producing high-quality work.
• Experience with Python and SQL for developing data management and analytics scripts.
• Ability to develop production-ready tools, preferably in Power BI.

Preferred Qualifications:

• Proficiency in business terminology and concepts gained through analytics experience.
• Experience in a private equity-backed services company focused on client acquisition, retention, and satisfaction.
• Familiarity with Databricks or similar Apache Spark-based tools.
• Experience with collaboration tools like GitHub.
• Working knowledge of Microsoft Excel and Office 365.
• Background in statistical modeling or machine learning.

Benefits for the Right Candidate:

• Competitive salary and benefits, including medical coverage and a 401(k) plan with company match.
• Unlimited PTO.
• Opportunities for growth.
• A fun, casual environment that values independent thought and ownership.
• The chance to significantly impact the company's growth in a newly created role.