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Job Description
About the Role
As a Principal Data Analyst at Optum, you will be part of a newly established team within OptumRx responsible for delivering a Pharmacy Centre of Excellence. Your key responsibilities will include providing analytics and insights related to primary revenue drivers, supporting process improvements across the 5 Optum owned pharmacy network, and developing new data products for external customers.
Key Responsibilities
- Lead projects and segment teams, reviewing work performed by others and recommending improvements, motivating and mentoring team members.
- Develop new concepts, technologies, and products to meet emerging business requirements, supporting data and service product and programs, contracting, sales, and invoicing.
- Apply strong analytical skills to understand complex problems, break them down into manageable components, and apply analytical techniques to find solutions.
- Drive solutions for both internal and external customers, actively consulting with business stakeholders and subject matter experts to ensure appropriate business content is incorporated into analytic approaches.
- Perform complex conceptual analyses and 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.
- Work closely with Finance, Treasury, Compliance, INR, legal, and other constituents to coordinate activity and ensure OptumRx remains compliant, competitive, and proactive.
Requirements
- MS Azure, SQL, Machine Learning experience.
- Proven work experience with FMCG, Pharma, or any Retail experience preferred.
- Demonstrated ability to own solution delivery with strong organizational, time management, and problem-solving skills.
- 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.
Preferred Qualifications
- Undergraduate degree in a discipline with a 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 data would be advantageous.
- Computer science qualification or experience.