Principal Data Analyst – Technical Solutions 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.
About Us: OptumRx leverages cutting-edge technology and data analytics to transform healthcare pharmacy services delivery.
As a Principal Data Analyst – Technical Solutions, you will be responsible for developing and implementing advanced data solutions that drive the organisation's business performance.
This includes building scalable data solutions and analytics platforms, developing machine learning models, and ensuring that all data products are optimised to meet both internal and external business needs.
This role is suited for individuals with a strong technical background in data analytics, data transformation and optimisation, and advanced analytics.
You will work closely with departments across OptumRx to create and deploy data products that improve operational efficiency and business insights.
From predictive modelling to developing scalable data solutions, your work will directly impact the ability of teams across finance, supply chain, and strategy teams to make data-driven decisions.
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 offices and telecommuting from a home-based office in a hybrid work model.
Primary Responsibilities: • Design and implement data solutions and products to support internal and external analytics needs.
• Develop machine learning models to create predictive and prescriptive analytics for financial forecasting, customer solutions, and operational improvements.
• Collaborate with data engineering, IT, and business teams to build and maintain scalable analytics infrastructure.
• Optimise data pipelines and data product performance to ensure reliability, data quality, and scalability across the organisation.
• Lead data solution projects from concept through implementation, working with cross-functional teams to meet business and technical goals.
• Analyse large datasets and ensure seamless data integration for machine learning models and data products.
• Create technical documentation to support analytic product deployment and continuous improvement.
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.
Required Qualifications: • Strong proficiency in SQL, and Python and/or R for data manipulation and modelling.
• Hands-on experience with cloud platforms like Azure, AWS, or Google Cloud.
• Machine learning experience, including building and deploying predictive models.
• Proven experience in data solution and/or product development.
Preferred Qualifications: • Experience in predictive analytics, healthcare analytics, or supply chain data.
• Familiarity with ETL tools like Apache Airflow, Kafka, or Azure Data Factory for data processing and pipeline automation.
• Experience with Power BI or other tools for developing technical dashboards.
• Bachelor's degree in Data Analytics, Computer Science, Engineering, Data Science, or related technical fields.
• Background in Pharmaceutical or Healthcare industries.
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: UnitedHealth Group is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace.
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