Senior Analytics Professional

5 days ago


Dublin, Dublin City, Ireland Optum Full time

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

  1. Data Analysis: Develop a deep understanding of data and business processes related to Chart Review, Targeting Analytics, and Risk Adjustment.
  2. Subject Matter Expertise: Serve as a subject matter expert in chart targeting while participating in creating integrated data solutions across the organization.
  3. Innovation and Data Engineering: Research and develop innovative analytics and data engineering processes to generate value for Optum and our clients.
  4. Data Optimization: Analyze data using PySpark to optimize operations and data processing tasks.
  5. Strategic Leadership: Drive strategies for targeting analytics, chart review business processes, and back-end data operations.
  6. Legacy Analytics Modernization: Lead reengineering initiatives to modernize legacy analytics and collaborate with stakeholders to understand new features and enhancements.
  7. Data Integration: Design data integration processes with automation, process controls, and monitoring tools to ensure data quality.
  8. 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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