Data Analyst

Optum is a global organization 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. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Join a team of talented data scientists, analysts, engineers, and product experts who are passionate about solving complex problems. We help shape the price of medicines for millions of Americans through one of the largest pharmacy pricing platforms in U.S. healthcare.

You'll work on a mature, enterprise-scale product that supports pricing decisions for more than 1.5 billion pharmacy claims annually, combining advanced analytics, software engineering, and business strategy to solve complex healthcare challenges. This is an opportunity to innovate on a proven platform, influence critical business decisions, and deliver solutions that help improve affordability and health outcomes for millions of people.

As a Data Analyst, you will apply your expertise and skills to develop, refine, and support the business logic that powers our pricing platform. This includes working with complex pricing rules, data inputs, and analytical outputs to help ensure our pricing engine produces accurate, scalable, and commercially meaningful results.

Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities:

• Develop logic and algorithms in our Pricing Engine to optimize drug pricing on our pricing platform
• Execute manual and automated testing. Define and refine test criteria, test cases, and test scenarios in detail
• Support production releases through testing, monitoring, and collaboration with stakeholders across multiple teams
• Debug and identify root causes of problems in desired product/process. Recommends and/or implements corrective measures or solutions
• Explore, analyze and interpret large datasets to identify patterns, trends and anomalies
• Collaborate closely with business and technical colleagues in an agile-driven environment to solve problems and develop solutions through to completion
• Work independently and with focus when needed
• Ensure quality in design and coding outputs
• Maintain your knowledge of the latest technologies and techniques relating to data analytics
• Work within the solution delivery methods and standards set out

You will 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 providing development for other roles you may be interested in.

Required Qualifications:

• Bachelor's degree (or higher) in a discipline with a significant focus on analytics, mathematics, coding, or related quantitative fields
• Demonstrated intermediate proficiency in Python, including the ability to develop clean, maintainable code and follow software development best practices
• Demonstrated proficiency in writing SQL scripts, including the use of advanced SQL functions and querying techniques
• Demonstrated experience, curiosity, and aptitude for solving business problems using analytics
• Proven ability to collaborate across business and technical teams to solve problems, conduct analyses, and incorporate feedback into solutions
• Proven ability to interpret large datasets, troubleshoot issues, and translate findings into actionable insights
• Proven experience utilizing databases and data management technologies
• Demonstrated aptitude and experience applying logical reasoning and mathematical concepts to analytical challenges
• Demonstrated entry-level to intermediate experience with business intelligence and data visualization tools such as Tableau, Power BI, or similar platforms

Preferred Qualifications:

• Proven experience contributing to production codebases
• Demonstrated experience using version control technologies such as Git and CI/CD pipelines
• Proven experience working with at least one relational database platform, such as PostgreSQL, and exposure to modern data warehouse or cloud computing environments such as Azure Databricks
• Demonstrated understanding of data pipeline engineering, testing frameworks, containerization technologies such as Docker, or related development practices

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 marginalized 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. © 2026 Optum Services (Ireland) Limited. All rights reserved.