Data Insights Strategist
6 days ago
Optum is a global organization that delivers care and services to millions of people worldwide. We strive to improve health outcomes by connecting individuals with the resources they need to live healthier lives. Our company culture values diversity, inclusion, and collaboration, providing a dynamic work environment that fosters growth and development.
About the Role
The Principal Data Analyst is a senior position in our Clinical Solutions - Risk Adjustment Team, responsible for developing and implementing advanced reporting and analytic approaches. You will work closely with leaders to enhance the efficiency and effectiveness of our organization. As a thought leader, you will design new solutions to solve intricate challenges and contribute to our mission of helping people live healthier lives.
Responsibilities
* Develop a deep understanding of data and business processes related to Chart Review, Targeting Analytics, and Risk Adjustment.
* Collaborate with stakeholders to create integrated data solutions across the organization.
* Research and develop innovative analytics and data engineering processes to generate value for Optum and our clients.
* Use data expertise to analyze data and provide solutions to optimize operations and data processing tasks using Py Spark.
* Drive strategies for targeting analytics, chart review business processes, and back-end data operations.
* Lead reengineering initiatives to modernize legacy analytics and work with stakeholders to understand new features and enhancements.
* Design data integration processes with automation, process controls, and monitoring tools to ensure data quality.
* Validate data pipelines and provide design inputs to build scalable data and analytics processes/data flows.
* Provide accurate data to reporting teams to enable them to build elegant dashboards and reports for complex analytic results.
Requirements
* Undergraduate degree in a data engineering or similar quantitative 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.
* Basic familiarity with big data and cloud technologies
* Ability to drive change and influence individuals at all organizational levels through technical discussions and analytical insights.
* Proven ability to work collaboratively and build strong networks in a multidisciplinary environment.
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