Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives.
The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.
About the Role:
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways.
And innovation is taking place at a lightning-fast pace every day at Optum.
We're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work.
You'll provide the talent, ambition, and drive. We'll provide the investment, support, and resources to advance your career.
Key Responsibilities:
* Develop a deep understanding of data and business processes related to Chart Review, Targeting Analytics, and Risk Adjustment.
* Serve as an SME in chart targeting while participating in creating integrated data solutions across the organisation.
* Research and develop innovative analytics and data engineering processes to generate value for Optum and our clients.
* Use data expertise to analyse data and provide solutions to optimising the performance of 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 modernise 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 (No SQL) 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 organisational levels through technical discussions and analytical insights.
* Proven ability to work collaboratively and build strong networks in a multidisciplinary environment.
Preferred Qualifications:
* Master's degree in a related field.
* Experience mentoring and leading other data analysts.
* Knowledge of data architecture, ETL, data warehouse design and large-scale data processing.
* Experience in a healthcare organisation in a data-centric role and knowledge of Risk Adjustment.
Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application.
All telecommuters will be required to adhere to the United Health Group's Telecommuter Policy.