At UnitedHealthcare we’re dedicated to helping people live healthier lives and helping to make the health system work better for everyone by simplifying the health care experience, addressing consumer health and social issues, delivering access to high-quality care and sustaining trusted relationships with care providers.

These are extraordinary times in health care. The opportunities to help people live healthier have never been greater. Advanced data and technologies, breakthrough treatments and consumer choice are redefining what can be achieved.

At UnitedHealthcare, part of the UnitedHealth Group family of businesses, we are working to create a system that is connected, aligned and more affordable for all involved; one that delivers high quality care, responsive to the needs of each person and the communities in which they live. With connections to more than 1.3 million physicians and care professionals and 6,200+ hospitals and care facilities across the globe, we can collaborate in new ways to improve patient care while providing customizable and comprehensive solutions in any market place, anywhere.

Our Values
Integrity: Honor commitments. Never compromise ethics.
Compassion: Walk in the shoes of people we serve and those with whom we work.
Relationships: Build trust through collaboration.
Innovation: Invent the future, learn from the past.
Performance: Demonstrate excellence in everything we do.

Data Analyst is responsible for working with vast amounts of data from multiple sources to provide analyses (i.e., descriptive, predictive, exploratory) across Medicare & Retirement Insurance Solutions that yield measurable value to the business (e.g., increased quality sales growth; channel optimization; improved Competitive Positioning). Initially, the position will focus on enabling data-driven decisions in support of the Operations and Underwriting. The Data Analyst will implement innovative analytic approaches to keep up with emerging industry trends and is responsible for providing insights in addition to well-structured analyses.

This individual will use flexible, analytical approaches to design, develop, and evaluate analytical solutions that lead to optimal value extraction from the data and will work with analytics and statistical software such as SAS, SQL, Python, Hadoop, Tableau and others to perform analysis and interpret data.

Positions in this function are responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality. Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company.

Roles in this function could partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization. Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data. Generally work is self-directed and not prescribed.

If you are located in Horsham, PA and eastern and central time zones, you will have the flexibility to work remotely* as you take on some tough challenges.

Primary Responsibilities

• Works with less structured, more complex issues.
• Serves as a resource to others.

You’ll 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 provide development for other roles you may be interested in.

Required Qualifications

• Bachelors of Science in Analytics-related field (e.g., Mathematics, Statistics, Computer Science)
• 3+ years of experience in business, data or statistical analysis
• 1+ years of experience with SQL/R/Python/Excel

Preferred Qualifications

• Master’s degree in Computer Science, Statistics, Applied Math, Business Administration or related field
• SAS programming, Tableau, Healthcare insurance industry, Medicare product knowledge/ data mining