Data Analyst - Network Pricing & Analytics at Optum

Optum; Dublin; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Career development opportunities

Diversity and inclusion culture

Job summary

Optum Ireland is seeking a data engineer to join the Pharmacy Reimbursement Analytics team in a full-time, on-site role in Dublin. You will build and maintain data pipelines, validate data quality, and develop analytics datasets to support network pricing and financial reporting.

You will collaborate with Analytics and Enterprise Data Engineering teams, work on large healthcare datasets, and contribute to automation and AI-enabled analytics in a diverse, inclusive environment.

Qualifications

• Bachelor's degree or higher in analytics, CS, engineering, finance, or related field.
• Proven experience with SQL, Databricks, Python on large datasets.
• Advanced proficiency in Microsoft Excel.
• Experience building and validating analytical datasets and pipelines.
• Ability to translate complex data into actionable business insights.
• Attention to data quality, governance, and controls.

Responsibilities

• Manage, maintain, and enhance data pipelines for pharmacy reimbursement analytics, pricing, and financial reporting.
• Develop and support analytical datasets for modelling and performance measurement.
• Perform data validation, quality assurance, and governance activities.

Skills

SQL

Databricks

Python

Excel

Data pipelines

Data governance

Data validation

Stakeholder communication

Cloud platforms

Analytics

Education

Bachelors degree

Tools

Databricks

SQL databases

Python

Job description

This Full time on site position offers great opportunities for career growth. 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 Pharmacy Reimbursement Analytics team, you will be responsible for managing and enhancing the data infrastructure that supports financial analytics, modelling, and strategic decision-making within the Optum Rx Network Pricing function. This role is primarily focused on data engineering and data management, including the maintenance of complex data pipelines, implementation of data quality controls, governance processes, and support for ongoing enhancements to the team's analytical datasets. Working closely with both Analytics and Enterprise Data Engineering teams, you will help ensure data solutions are scalable, automated, and aligned with broader organizational standards. The team utilizes large and complex pharmacy claims, pricing, and contract datasets to evaluate reimbursement performance, quantify financial impacts, and generate insights that support contracting strategy, client financial management, and operational decision-making. Beyond core data engineering responsibilities, this role offers the opportunity to develop a deeper understanding of pharmacy reimbursement and the business drivers behind the analyses. Additional responsibilities may include supporting analytical modelling, investigating pricing and reimbursement trends, forecasting outcomes, identifying performance drivers, and helping translate complex data into actionable insights for business stakeholders. We are looking for someone with solid technical and problem-solving skills, a passion for data, and a curiosity to understand how data informs business decisions. The ideal candidate will enjoy building robust data solutions while developing their commercial and analytical knowledge within a complex healthcare environment. 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.

What you will do:

• Manage, maintain, and enhance data pipelines that support pharmacy reimbursement analytics, network pricing, and financial reporting
• Develop and support analytical datasets used for modelling, performance measurement, and strategic decision-making
• Perform data validation, quality assurance, and governance activities to ensure the accuracy and reliability of reporting and analytics outputs
• Analyse pharmacy claims, pricing, and contract data to identify trends, reimbursement variances, and drivers of financial performance
• Support the design and maintenance of analytical models and reporting solutions used by Contracting, Underwriting, Finance, and Operations teams
• Partner with business stakeholders to understand requirements and translate them into scalable data and reporting solutions
• Collaborate with enterprise data engineering teams to improve automation, efficiency, and alignment with organizational data standards
• Contribute to process improvement initiatives and the adoption of modern data tools, including AI-enabled analytics capabilities
• Develop a broader understanding of pharmacy reimbursement and network pricing to help translate data into actionable business insights

What you will bring:

• Bachelor's degree (or higher) in Analytics, Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, Business, or a related field, or equivalent relevant experience
• Proven experience using SQL, Databricks, Python, or similar technologies to work with large and complex datasets
• Demonstrated advanced proficiency in Microsoft Excel
• Proven experience building, maintaining, and validating analytical datasets, reporting solutions, or data pipelines
• Proven experience translating complex data into actionable insights and recommendations for business stakeholders
• Demonstrated solid attention to detail and commitment to data quality, governance, and control processes
• Other useful skills and experience:
  • Demonstrated solid understanding of relational databases, data modeling, and data engineering best practices
  • Proven experience within healthcare, insurance, Pharmacy Benefit Management (PBM), pharmaceutical, pricing, reimbursement, or financial analytics environments
  • Proven experience supporting finance, contracting, underwriting, commercial strategy, or operational decision-making through data and analytics
  • Proven experience working with cloud-based data platforms and modern analytics tools
  • Demonstrated knowledge of process automation, reporting transformation, or AI-enabled analytics solutions

Soft Skills:

• Demonstrated solid analytical and problem-solving skills
• Demonstrated solid communication skills, with the ability to explain technical concepts to non-technical audiences
• Proven ability to collaborate effectively with stakeholders across multiple teams and organizational levels
• Proven ability to troubleshoot data issues and identify opportunities for automation and process improvement
• Demonstrated curiosity and interest in understanding business processes, financial performance, and strategic decision-making
• Demonstrated initiative and eagerness to develop deeper commercial and analytical expertise
• Proven ability to manage multiple priorities while maintaining high standards of accuracy and quality

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.

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