**Job Summary**
Optum, a global organization, delivers care aided by technology to help millions live healthier lives.
The work with our team directly improves health outcomes by connecting people with care, pharmacy benefits, data and resources they need to feel their best.
We're a Fortune 5 business and one of the world's leading healthcare companies, offering unlimited resources and challenging opportunities.
We've supported global healthcare systems for over 20 years from Ireland and the UK, building a dynamic team of 2,100 individuals.
With continued growth and stability, we're looking for fresh talent to join our expanding teams.
This role involves working as a **Senior Data Analyst** within OptumRx's Pharmacy Centre of Excellence, delivering analytics and insights related to primary revenue drivers and supporting process improvements across the 5 Optum-owned pharmacy network.
You'll build relationships with partners across various functions, including Supply Chain, Finance, Network Relations and Clinical.
The ideal candidate has a quantitative mindset, strong problem-solving skills and well-developed communication and technical skills.
The schedule is full-time, Monday to Friday, with standard working hours.
Careers at Optum offer flexible work arrangements, and you may split your monthly work hours between Dublin or Letterkenny Offices and telecommuting from home in a hybrid model.
Key Responsibilities: Develop new concepts, technologies and products to meet emerging business requirements.
Analyse complex problems, break them down into manageable components and apply analytical techniques to find solutions.
Collaborate with lines of business to understand analytic needs, contribute to shaping business solutions and communicate results of analytics.
Consult with business stakeholders and subject matter experts to ensure appropriate business content is incorporated into analytic approaches.
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 code and documentation describing analytics methodologies and data product designs.
Efficiently deliver on ad-hoc analysis requests from a wide range of stakeholders.
As a Senior Data Analyst, you will be rewarded and recognized for your performance in an environment that challenges you and provides clear direction on what it takes to succeed in your role.
Required Qualifications: Experience with MS Azure, SQL and Machine Learning.
Technical experience in Python, Data Factory and Machine Learning.
Ability to analyse and interpret large volumes of data from disparate data sources.
Experience in creating rapid prototypes (ETL, Analytics logic).
Experience in FMCG, Pharma or Retail industries.
Preferred Qualifications: Bachelors degree in analytics, mathematics, statistics or engineering.
Experience in delivering predictive and/or prescriptive analytics in an industry setting.
Experience working in health informatics or within the healthcare industry.
Soft Skills: Quantitative mindset and ability to understand complex processes.
Strong organizational, time management and problem-solving skills.
Effective communication skills to work with stakeholders from multiple levels and disciplines.