Senior Analytics Professional
5 days ago
About Optum
As a global healthcare organization, Optum delivers high-quality care to millions of people worldwide. Leveraging technology, we connect individuals with the necessary resources, pharmacy benefits, and data to improve health outcomes.
Our Culture
We foster a culture guided by diversity and inclusion, providing a supportive environment where professionals can thrive. Our comprehensive benefits, career development opportunities, and talented peers make us an ideal place for those who want to make a meaningful impact.
The Role
This senior role involves leading the development and implementation of advanced reporting and analytic approaches in our Clinical Solutions - Risk Adjustment Team. You will work closely with other leaders to enhance the efficiency and effectiveness of our entire organization.
Your Responsibilities
- Data Analysis: Develop a deep understanding of data and business processes related to Chart Review, Targeting Analytics, and Risk Adjustment.
- Subject Matter Expertise: Serve as a subject matter expert in chart targeting while participating in creating integrated data solutions across the organization.
- Innovation and Data Engineering: Research and develop innovative analytics and data engineering processes to generate value for Optum and our clients.
- Data Optimization: Analyze data using PySpark to optimize operations and data processing tasks.
- Strategic Leadership: Drive strategies for targeting analytics, chart review business processes, and back-end data operations.
- Legacy Analytics Modernization: Lead reengineering initiatives to modernize legacy analytics and collaborate with stakeholders to understand new features and enhancements.
- Data Integration: Design data integration processes with automation, process controls, and monitoring tools to ensure data quality.
- Data Pipeline Validation: Validate data pipelines and provide design inputs to build scalable data and analytics processes/data flows.
Required Skills and Qualifications
To succeed in this role, you will need:
- An undergraduate degree in a quantitative field such as data engineering or a related field.
- Extensive experience in complex data analysis with relational and non-relational databases, mining large datasets, including advanced proficiency in SQL/Python or any transferable programming language.
- Demonstrated ability to drive data-driven business solutions in a complex data environment.
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