Optum

Associate Data Analyst (Healthcare Economics),

Job description

Associate Data Analyst (Healthcare Economics) – Dublin, Hybrid

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

At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future.

Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone.

As an Associate Data Analyst, you will perform critical research and investigation of key business problems. Using analytical skills, you will develop and improve quantitative data analytics and set performance targets for the enterprise. As a subject matter expert, you will interpret and analyse clinical data from various sources and recommend best approaches for its consolidation. You will be empowered to support short and long term operational/strategic business activities. Your work will help us develop, enhance, and maintain business intelligence tools that will have an impact on business 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 and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities Of The Associate Data Analyst

  • Design and develop data queries and programs through Python, Oracle, SAS, or other similar tools to create data sets and models for analyzing and interpreting key drivers of health care trends (i.e. medical cost, utilization, etc.).
  • Build and maintain user friendly and informative dashboards and summarizations that provide actionable insights to stakeholders using relevant data visualisation aids.
  • Support & maintain Key Performance metrics while producing actionable insights for improvements.
  • Collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions.
  • Apply Data Quality Assurance Techniques to verify accuracy and reliability of data and reports, identifying and resolving data quality issues.
  • Implement data governance in line with company standards.
  • Conduct Ad Hoc Analysis and solve complex data issues and provide consultative advice and summarize analytic findings.
  • Provide ongoing, meaningful, communications to leadership on project status, results and conclusions from analyses.

You will be rewarded and recognized 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 Of The Associate Data Analyst

  • Bachelor’s Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
  • Experience in programming and data analytics either from educational study or professional experience
  • Experience programming statistical models, demonstrate understanding of different statistical methods and approaches
  • Experience with MS Excel for data analytics
  • Analytical and problem-solving skills

Preferred Qualifications Of The Associate Data Analyst

  • Advanced degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
  • Proficiency in analytic tools such as SAS, R and Python
  • Experience using data visualisation tools such as Power BI, or similar
  • Proficiency in Machine Learning and AI models and algorithms
  • Proficiency using other MS Office applications such as Word, PowerPoint, Teams & OneNote
  • Experience working with large data sets

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

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