
Business Analytics Senior Analyst
3 weeks ago
- Leverage your robust knowledge of the US Healthcare system and data sets to creatively explore and identify ways to reimagine how to deliver greater predictability and affordability.
- Adopt an agile approach to iteratively build solutions based on well-structured hypotheses and robust test-and-learn approaches that result in transformative capabilities.
- Partner with our US and Hyderabad-based teams to:
- Ensure our contracts with major health systems are performing to expectations.
- Identify the root cause of trend and cost variance drivers.
- Formulate and succinctly communicate remediation recommendations for our US-based teams to engage with health systems to address concerns.
- Monitor and quantify the effects of remediation actions.
- Lead efforts to advance medical trend early-detection and monitoring capabilities.
- Test and learn how to leverage early indicators of trend by leveraging leading data sources relevant for better anticipating and explaining Precision Trend.
- Validate the relevance of leading data sources to anticipate and explain Trend.
- Deploy consistent methodologies to identify and explain drivers of deviation from Plan.
- Evaluate whether identified deviations from Plan are anomalies or likely to persist and calculate financial effects.
- Communicate findings and suggested adjustments to Plan and future trend expectations to Directors and Senior Leadership Team members.
- Cultivate Collaborative Relationships - fostering a strong collaborative culture and championing a shared services analytics capability while hearing and considering things happening in the macro business and offering suggestions of areas to investigate, based on your data discoveries and team's capabilities.
- Define, pull, and validate data needs - dive deep to infer meaning and uncover insightful data trends that inform real-world decisions.
- Tell compelling stories - distill complex subject matters into simple stories that give rise to action.
Required skills:
- Strong technical, leadership, and industry-specific skills as related to the job.
Required Experience:
- 3-5 years of practical US healthcare analytics working within at least one specialized domain of claims-related experience, reimbursement methodologies, or medical terminology (CPT, Dx, ICD10, HCPCS, Rev Codes, etc).
- Proven track record contributing to complex analytics projects.
Technical Requirements:
- 3-5 years of practical technical coding languages (ie. SQL, Python, etc), enterprise databases, and data architecture (i.e Databricks, Teradata, Oracle, and DB2) and ability to index, partition, and tune the performance of models.
- Ability to hear and translate ideas into self-built functional designs with complementary technical details that support scale and require minimal maintenance.
- 3-5 years of data warehousing, profiling, and analyzing disparate datasets with the ability to convert into actionable insights.
- Demonstrated ability in building reports leveraging business intelligence reporting capabilities (i.e. Tableau) with demonstrated stories of how the business has acted against insights.
Desired Experience and Skills:
- Constantly consider the So What and Now What behind your work and ask the right questions to anticipate and gauge whether a team/project will deliver what is needed.
- Exercises extreme comfort with ambiguity with the humbleness to know when something isn't working and to boldly communicate the need to pivot to achieve results, faster.
- Previous experience working on medical economics-related initiatives (Unit Costs, Medical or Pharmacy Cost Trend drivers, etc).
- Previous pharmacy/PBM experience with the ability to leverage Rx data to better predict medical trends and cost variance drivers.
Required Education:
- Bachelor's degree in either Business Analytics, Data Science, Mathematics/Statistics, Computer Science, or a related quantitative field.
Desired Experience:
- Experience in healthcare business processes and industry-specific compliance requirements.
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