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Optum

Senior Data Analyst, E&I Affordability

Posted 16 Days Ago
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In-Office
2 Locations
Senior level
In-Office
2 Locations
Senior level
The Senior Data Analyst will leverage advanced analytics and AI to drive affordability initiatives, build predictive models, and deliver insights by analyzing complex datasets.
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Senior Data Analyst, E&I Affordability- Dublin, Letterkenny
At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future. Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone. Join us and do your life's best work.
About the role:
As a Senior Data Analyst within the E&I Affordability team, you will play a key role in leveraging advanced analytics and AI to drive affordability initiatives in the U.S. healthcare system. This position involves collaborating with business stakeholders and data science teams to refine requirements, build predictive models, and develop scalable data pipelines. You will analyze complex datasets to identify trends, create impactful visualizations, and deliver actionable insights to leadership. The role requires strong technical skills in Python, SQL, and data visualization tools, along with experience in data engineering and familiarity with modern AI frameworks.
Primary responsibilities of the Senior Data Analyst, E&I Affordability:
  • Learning the complexities of the US Healthcare system
  • Collaborate with business stakeholders, ideation teams and data sciences teams to refine data requirement and roadmaps
  • Leverage the power of AI to analyze complex datasets and feed predictive models
  • Build predictive models where necessary
  • Use API access to AI models and build robust software solutions.
  • Identify trends and opportunities for affordability through analysis of complex datasets.
  • Build own data pipeline when required, validate data pipelines and provide design inputs to build scalable data and analytics processes and data flows
  • Build visualizations and deliver data insights to leadership

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required qualifications of the Senior Data Analyst, E&I Affordability:
  • Bachelor's degree (or higher) in a relevant subject or equivalent experience
  • Ability to write efficient, maintainable code (Python preferred) and sound software engineering fundamentals
  • Proven experience in data analysis, preferably in a healthcare or managed care setting
  • Ability to understand and explain complex data models
  • Ability to write, understand and explain complex queries (SQL) and tuning queries for performance
  • Experience with at least one RDBMS (Snowflake preferred)
  • Ability to build data visualizations in at least one data platform (e.g., Tableau, Power BI)
  • Experience using and configuring version control and CI-CD processes (Git preferred)

Preferred qualifications of the Senior Data Analyst, E&I Affordability:
  • Familiarity with machine learning or predictive modeling
  • Building real world AI solutions, knowledge of frameworks like LangChain, LangGraph, CrewAI is a plus
  • Experience building applications with Streamlit
  • Prior experience in data engineering and familiarity with any data workflow orchestration tool (example: ADF, Airflow) and cloud-based data analytics platform (Azure Databricks preferred)

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. Proof will be required to support your application.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2023 Optum Services (Ireland) Limited. All rights reserved.
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Top Skills

Adf
Airflow
Azure Databricks
Crewai
Data Visualization Tools
Git
Langchain
Langgraph
Power BI
Python
Snowflake
SQL
Tableau

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