Senior Data Analyst - Rebate Analytics

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.

As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter.

We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.

As a member of the Rebate Analytics team, you will play a key role in growing and enhancing our Rebates Estimation Platform - a cutting-edge model capable of real-time, complex calculations to predict financial outcomes for clients, such as rebate payment estimates and reimbursements at the individual claim level. By streamlining complex contract rules and payment schedules, it significantly reduces the time it takes to process and deliver financial insights, helping clients make better decisions and manage their cash flow more effectively. This role has a huge impact as the model serves as source of truth for rebate estimates across the entire PBM business. The model also acts as the foundational data provider for seven downstream platforms that are essential to multiple stakeholder teams and clients.

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:

• Improve the accuracy, efficiency, and reliability of the model
• Add new capabilities to the model to meet evolving business and client needs
• Update and adapt the model to account for changes in the market and Optum's business operations
• Develop new products that utilize the rich data generated by the model to deliver innovative solutions and create added value for the organization.
• Enhance platform robustness to prevent issues and ensure seamless functionality
• Collaborate with stakeholders and experts to ensure analyses address business needs, anticipating and solving issues proactively
• You will also provide support to other products owned by the Client Rebate Analytics team, such as an dashboarding platform sold to clients, and an reporting automation tool
• You will be technically accomplished with a quantitative mindset, a solid aptitude for complex problem-solving, and a keen eye for process improvement. Your curiosity will drive you to seek innovative ways to analyze data and challenge existing practices

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:

• Solid Python Skills: Advanced Python (or PySpark) programming skills
• SQL Skills: Knowledge of SQL with the ability to perform effective and efficient querying involving multiple tables and subqueries
• Proven experience with Large Codebases: Hands-on experience working with and contributing to production-level, large-scale codebases
• Quality Assurance (QA): Proven ability to implement and manage QA processes to ensure systems are reliable and accurate
• Data Analysis: Demonstrated experience analyzing and interpreting large datasets from disparate sources, with an emphasis on ensuring accuracy and reliability of results
• Demonstrates effective communication skills, able to collaborate with stakeholders from multiple levels and disciplines
• Problem-Solving: Proven solid analytical and problem-solving abilities
• Demonstrates accuracy and attention to detail

Preferred Qualifications:

• Proven experience working with ETL pipelines and data workflows
• Demonstrated familiarity with Databricks and Azure cloud
• Proven experience with modelling and forecasting
• Demonstrated interest in AI and familiarity with LLM tools (e.g., GitHub Copilot, chatGPT)

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. © 2025 Optum Services (Ireland) Limited. All rights reserved.

Client-provided location(s): Dublin, Ireland, Letterkenny, Ireland

Job ID: UHG-2331737

Employment Type: FULL_TIME

Posted: 2025-12-19T20:20:49