Senior Data Analyst,

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. 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. 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 key member of the Ireland Rebate Analytics team, you will collaborate with stakeholders spanning Commercial Strategy to utilize data-driven solutions and identify rebate optimization opportunities. Your role will involve contributing towards rebate scenario modelling, finding gaps leading to formulary non-adherence, and measuring efficacy of ongoing rebate strategy. You will also collaborate closely with pharmacists to build robust scenario models.

You will be technically accomplished with a quantitative mindset, a strong 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.

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 and telecommuting from a home-based office in a hybrid work model.

• Demonstrate strong analytical skills by understanding complex problems, breaking them down into manageable components, and applying analytical techniques to find effective solutions
• Actively consult with business stakeholders and subject matter experts to ensure that analytic approaches incorporate appropriate business content. Anticipate stakeholder needs and proactively develop solutions to meet them
• Create annotated DataBricks code and technical requirements documentation that describe analytics methodologies and data product designs
• Develop reports, dashboards, and visualizations to present findings clearly and effectively
• Contribute towards build and design of rebate and formulary scenario models
• Ensure data integrity and accuracy by implementing rigorous quality control measures
• Efficiently deliver on ad-hoc analysis requests from a wide range of stakeholders

You will be rewarded and recognised 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

• Bachelor's degree (or higher) in discipline with a strong analytical focus (e.g., analytics, mathematics, statistics, engineering, science)
• Proficiency in the following: SQL, Python/R, Excel, PowerBI/Tableau, GitHub
• Proven experience in analyzing and interpreting large volumes of data from disparate sources, with the ability to ensure the accuracy and reliability of the analyses

• Possess familiarity with Machine Learning, including a foundational understanding of both supervised and unsupervised learning techniques.
• Experience working in health informatics or within the healthcare industry or prior experience with Clinical, Claim, and/or Hospital Billing Data Types.
• Expertise in Azure Databricks, Azure Data Factory, Power Apps, pyspark is a plus.

• Quantitative mindset and ability to understand complex processes.
• Ability to own solution delivery with strong organizational, time management and problem-solving skills.
• Works effectively in cross-functional teams to achieve shared goals.
• Applies a detail-oriented approach to ensure data integrity and flawless execution.
• Large volumes of data from disparate sources, with the ability to ensure the accuracy and reliability of the analyses.

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.

All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.

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

#RPO #BBMEMEA

Referrals increase your chances of interviewing at Optum by 2x

Get notified about new Senior Data Analyst jobs in Letterkenny, County Donegal, Ireland.

Senior Consultant - AI Analyst, Data & Analytics, Belfast and Derry/Londonderry

Principal Data Scientist - Out of Network Analytics

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.