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. 

About the Role:

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 Senior Data Analyst you will join a newly established team within OptumRx responsible for delivering a Pharmacy Centre of Excellence.  You will provide analytics and insights related to primary revenue drivers as well as supporting process improvements across the 5 Optum owned pharmacy network. You will also have the opportunity to develop new data products for external customers. 
Within the role, you will build relationships with our partners across many functions, including Supply Chain, Finance, Network Relations and Clinical. 
We’re looking for someone with a quantitative mindset, a strong aptitude for complex problem solving and process improvement with well-developed communication and technical skills.
 

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

Primary Responsibilities:
·    Develop new concepts, technologies and products to meet emerging business requirements to support data and service product and programs, contracting, sales and invoicing.
·    Strong analytical skills including the ability to understand complex problems, break them down into manageable components, and apply analytical techniques to find solutions.
·    Collaborate with lines of business to understand their analytic needs, contribute to shaping business solutions and communicate results of analytics
·    Actively consult with business stakeholders and subject matter experts to ensure appropriate business content is incorporated into analytic approaches. Anticipate stakeholder needs and proactively develop solutions to meet them
·    Deliver well-engineered, scalable data products to support integrated analytics and reporting
·    Rapidly develop new insights and iterate upon those insights to drive business decisions
·    Create annotated Data Bricks code and documentation describing analytics methodologies, data product designs using layman’s terms that will serve as the documented technical requirements for IT partners to scale and productionize analytics solutions 
·    Efficiently deliver on ad-hoc analysis requests from a wide range of stakeholders

Required Qualifications:
·    Strong SQL skills
·    Demonstrated ability to own solution delivery with strong organizational, time management and problem-solving skills
·    Technical experience in Python, Data Factory and Machine Learning
·    Comfortable analyzing and interpreting large volumes of data from disparate data sources with the ability to error proof the output of analyses
·    Quantitative mindset and ability to understand complex processes
·    Experience in creating rapid prototypes (ETL, Analytics logic)
·    Strong communication skills, able to work with stakeholders from multiple levels and disciplines
·    Proven work experience with FMCG, Pharma or any Retail experience.

Preferred Qualifications:
·    Undergraduate degree in discipline with strong analytical focus (analytics, mathematics, statistics, engineering etc.
·    Experience in delivering predictive and/or prescriptive analytics in an industry setting that yielded real business value.
·    Experience working in health informatics or within the healthcare industry or prior experience with Clinical, Claim, and/or Hospital Billing Data Types
·    Computer science qualification or experience.

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.

v 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. © 2023 Optum Services (Ireland) Limited. All rights reserved.