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If you are interested in disrupting the healthcare market, and have the passion and competence to do so, this is your organization. We encourage you to lean in and read on.
SUMMARY:
Alegeus is the market leader in consumer directed healthcare solutions, offering the industry’s most comprehensive platform for the administration of healthcare benefit accounts, the industry’s most widely-used benefit debit card, and powerful engagement solutions to help consumers maximize savings and optimize spending for their healthcare. Over 300 clients – including health insurance plans, third party administrators and financial institutions – leverage Alegeus’ deep expertise and proven technology to administer benefit accounts for more than 29 million members and process more than $8.9 billion in consumer healthcare payments annually. As the healthcare and benefit markets continue to evolve, Alegeus delivers solutions that enable clients to advance their service offerings, operate their businesses more efficiently, and focus on their customers.
Alegeus is part of the Vista Equity Partners portfolio of companies, working in partnership with the market-leading technology investment firm to reinvent the consumer directed healthcare marketplace. Our talented associates benefit from this partnership through increased capital for strategic investments, access to exceptional toolkits, best practices and resources for success, and strong cultural and value alignment focused on talent development and growth.
Alegeus seeks a Product Business Analyst – Data & Analytics to join our dedicated, passionate team of professionals. The Product Business Analyst – Data & Analytics will report to Head of Product – Data & Analytics and be responsible for helping our company succeed by helping reimagine and create Alegeus’ data platform and develop the next generation of data products.
MISSION:
Make data the basis for every decision at Alegeus. Reimagine and continue improving the Alegeus data platform and infrastructure to enable our company to make optimal decisions. Build data products that deliver exceptional value to our clients and consumers and drive profitability for Alegeus. Drive growth, improve efficiency, and influence long-term product strategy through data and analytics.
OUTCOMES:
- Create and execute plan to significantly improve data infrastructure and analytics platform
- Create 1-3 year roadmap for Alegeus data, reporting and analytics products
- Evaluate, revise and launch new Go-To-Market strategies for data products
- Assist in the design robust instrumentation across applications to measure and analyze user behavior
- Improve internal and external engagement with data products (as measured by active users, retention, etc.)
- Collect and maintain qualitative and quantitative fact-base on product features and functionalities and identify areas of improvement
RESPONSIBILITIES:
- All responsibilities for this role will be in service of the Outcomes listed above
- Understand and quantify major pain points revolving around designing, developing, deploying and maintaining a data warehouse
- Come up with 21st century solutions to pain points surrounding data infrastructure and Alegeus current use of data and reporting
- Assist with vendor selection processes
- Assist with developing and maintaining product roadmap
- Synthesize qualitative and quantitative feedback from clients and consumers
- Interface with product ownership team on requirements
- Maintain cross-functional relationships
- Monitor performance metrics for our data and analytics products
- Research best practices surrounding the use of data and reporting
ROLE-BASED COMPETENCIES:
The desired candidate must have a strong background in analytics, think strategically, and are able to make challenging trade-offs (long-term vs. short-term, low risk vs. high risk). In addition, the candidate should be comfortable and confident with complex analytical work. We want a persistent team-player who is results oriented and has high attention to detail.
EDUCATION/EXPERIENCE:
- BA/BS required; Degree in a quantitative field: computer science, data analytics, information systems, economics, or engineering.
- Experience in building complex model in Excel
- Comfortable with large datasets
- Advanced SQL experience
- Experience with modern BI tools (e.g., Tableau, PowerBI)
- Python preferred
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