Analytics Consultant
Detalhes do emprego
About the Role: We are looking for a self-driven Analytics Consultant to join our team of data and domain enthusiasts in healthcare payment integrity. In this role, you will have the opportunity to work with various payers and providers, helping to reduce provider abrasion and enhance provider engagement with our innovative, highly scalable solutions. Work from office Role Brief: We monitor business performance and operations, problem-solving by applying various analytics levers and involving different teams working on ML models, SQL rules, hospital profiling, pattern mining, etc., to meet client savings targets. The Analytics team functions as both the R&D and operational excellence team, constantly discovering new patterns through state-of-the-art technologies, from SQL queries to large language model (LLM) agents. Responsibilities:
- Design data-driven solutions and frameworks (descriptive and predictive) from scratch, and consult in a leadership capacity on potential solutions, storyboards, and POCs.
- Drive business metrics that contribute to top-line growth and/or profitability.
- Perform quantitative and qualitative analyses, including raw data analysis and deep dives, to derive insights.
- Develop descriptive (reporting) to prescriptive analytics for business monitoring and operational excellence.
- Translate data insights for business stakeholders to communicate and gain equivalent business context.
- Apply next-gen technologies to all parts of the analytics lifecycle, including data extraction, exploratory data analysis, data mining, information extraction from unstructured data, and visualization/storyboarding.
- Manage a small team of data analysts.
- 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.
- Massive Data Assets : Millions of structured data records and thousands of unstructured records processed monthly.
- Tech Investment : On-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments.
- Leadership Push : Strong focus on digitization, data-led decision-making, and AI.
- Analytics Team : A team of 100+ data enthusiasts, decision scientists, and business/subject matter experts.
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