Senior Data Analyst
UnitedHealth Group View all jobs
- Dublin
- Permanent
- Full-time
- Develop a deep understanding of data and business processes related to Chart Targeting Analytics and Risk Adjustment. Serve as an SME in chart targeting while participating in creating integrated data solutions across the organization
- Research and develop innovative analytics to generate value for Optum and our clients
- Identify data trends and opportunities to enhance chart targeting by analysing complex datasets
- Use data expertise to analyze data and provide solutions to optimizing the performance of operations and data processing tasks
- Support leadership strategies to enhance targeting analytics, end to end chart review business processes, and back end data operations
- Support reengineering and automation initiatives to modernize legacy analytics and work with internal team and stakeholders to understand and drive forward enhancements
- Validate data pipelines and provide inputs to build scalable data and analytics processes/data flows
- Provide accurate, high quality data to partnering teams in timely manner to enable integration into their workflows and execution of their process steps
- Perform quality checks to ensure high standard and accurate data
- Bachelor's Degree in a data engineering or similar quantitative field
- Proven extensive experience in complex data analysis with relational and non-relational (NoSQL) databases, mining large datasets, including advanced proficiency in SQL/Python or any transferable programming language
- Proven experience with big data technologies, including Apache Spark and Hive
- Demonstrated ability to drive data driven business solutions in a complex data environment
- Proven solid hands-on experience working with and analyzing large-scale datasets, including ETL processes
- Proven solid working knowledge of relational databases and database design principles
- Demonstrated basic familiarity with big data and cloud technologies
- Proven ability to drive change and influence individuals at all organizational levels through technical discussions and analytical insights
- Proven ability to work collaboratively and build solid networks in a multidisciplinary environment
- Demonstrate superior communication with the ability to clearly and accurately convey complex information across all organizational levels, with solid attention to detail
- Demonstrated solid interpersonal, verbal, and written communication skills, coupled with high personal initiative, accountability, and the ability to work independently
- Demonstrated knowledge of Risk Adjustment and experience in a healthcare, data centric role, with exposure to datasets such as member and claims data
- Proven experience in preparation and presentation of data insights and recommendations to both internal and external stakeholders, preferable
- Proven experience with big data technologies, including Apache Spark, Python, Hive, Shell scripting, and Sqoop
- Demonstrated working knowledge of Databricks for large-scale data processing and analytics
- Proven hands-on experience designing, developing, and maintaining Azure Data Factory (ADF) pipelines for data ingestion and orchestration