Senior Data Analyst

UnitedHealth Group is a health care and well-being company that’s dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a diverse team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together.

 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 a key member of the Ireland Rebate Analytics Billing team, you will collaborate with the Manufacturer Discounts Finance team to utilize data-driven solutions, enhancing the accuracy and efficiency of both pharmacy and medical billing processes for claims exceeding $50 billion annually. Your role will involve leading detection and investigatory analysis to identify billing opportunities and maximize rebate value. Additionally, you will collaborate closely with stakeholders to validate billing processes and drive continuous improvements. You will also explore opportunities for the growth and expansion of our analytical insights to support a broader stakeholder base. In addition to having impact on a great team, you’ll also discover the career opportunities you’d expect from an industry leader. 

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

Primary Responsibilities: 

• Demonstrate strong analytical skills by understanding complex problems, breaking them down into manageable components, and applying analytical techniques to find effective solutions
• Actively consult with business stakeholders and subject matter experts to ensure that analytic approaches incorporate appropriate business content. Anticipate stakeholder needs and proactively develop solutions to meet them
• Create annotated Data Bricks code and technical requirements documentation that describe analytics methodologies and data product designs
• Conduct statistical analyses to identify trends, patterns, and insights, including opportunities for outlier detection
• Develop reports, dashboards, and visualizations to present findings clearly and effectively
• Ensure data integrity and accuracy by implementing rigorous quality control measures
• Efficiently deliver on ad-hoc analysis requests from a wide range of stakeholders

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:

• Bachelor’s degree (or higher) in a discipline with a strong analytical focus (e.g., analytics, mathematics, statistics, engineering)
• Proficiency in data manipulation and analysis using SQL, Python, or R
• Expertise with data visualization tools such as PowerBI and Tableau
• Expertise in Azure Databricks, Azure Data Factory
• Proficiency with ETL tools (e.g., Alteryx), GitHub, and APIs
• Proven experience in analyzing and interpreting large volumes of data from disparate sources, with the ability to ensure the accuracy and reliability of the analyses

Preferred Qualifications:

• Possess familiarity with Machine Learning, including a foundational understanding of both supervised and unsupervised learning techniques
• Experience working in health informatics or within the healthcare industry or prior experience with Clinical, Claim, and/or Hospital Billing Data Types

Soft Skills:

• Quantitative mindset and ability to understand complex processes
• Ability to own solution delivery with strong organizational, time management and problem-solving skills
• Works effectively in cross-functional teams to achieve shared goals
• Applies a detail-oriented approach to ensure data integrity and flawless execution

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: 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. © 2024 Optum Services (Ireland) Limited. All rights reserved.

 

 

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