Data-Driven Healthcare Solutions Architect
17 hours ago
We're seeking a skilled Data-Driven Healthcare Solutions Architect to join our team of data enthusiasts in healthcare payment integrity. This role offers a unique opportunity to work with various payers and providers, reducing provider abrasion and enhancing engagement with our innovative solutions.
The ideal candidate will have experience monitoring business performance and operations, applying analytics levers, and collaborating with ML models, SQL rules, hospital profiling, and pattern mining to meet client savings targets.
Key Responsibilities:
- Design data-driven solutions from scratch, consult on potential solutions, storyboards, and POCs.
- Drive business metrics contributing to top-line growth and profitability.
- Perform quantitative and qualitative analyses to derive insights.
- Develop descriptive to prescriptive analytics for business monitoring and operational excellence.
- Translate data insights for business stakeholders.
Skill Requirements:
- 7+ years of experience in strategy and business optimization.
- Post-graduate or MBA (preferred) OR a graduate degree in Engineering, Mathematics, Operations Research, Science, or Statistics.
- Experience in the healthcare industry is preferred.
- At least 7+ years of experience in analytics using SQL, SAS, Python, basic statistical concepts, and analyzing data to interpret results for the business.
- Ability to translate and structure business problems to deliver technical solutions.
- Proven experience in a fast-paced environment, supporting multiple concurrent projects.
- Collaborative and team-oriented with a willingness to take on various projects.
- Strong desire to work in a fast-paced environment.
About EXL Health Payments Analytics:
We're looking for passionate individuals with a growth mindset who are ready to experiment, learn, and contribute to our growth journey. At EXL Health Payments Analytics, we generate revenue from the savings we identify for our clients, on a commission or outcome basis. We specialize in error/overpayment detection for hospital and doctor claims, productizing algorithms and R&D accelerators that can be used across multiple health insurance clients.
Our Ecosystem:
We have a massive data asset with millions of structured data records and thousands of unstructured records processed monthly. Our tech investment includes on-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments. We have a strong focus on digitization, data-led decision-making, and AI, with a team of 100+ data enthusiasts, decision scientists, and business/subject matter experts.
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