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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
Primary Responsibilities:
- Management and manipulation of mostly structured data, with a focus on building business intelligence tools
- Conduct analysis to distinguish patterns and recognize trends
- Perform normalization operations and assuring data quality
- Create specifications to bring data into a common structure
- Create product specifications and models
- Develop data solutions to support analyses, perform analysis, interpret results, develop actionable insights and present recommendations for use across the company
- Understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization
- Produce and manage the delivery of activity and value analytics to external stakeholders and clients
- Use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data
- Descriptive and regression-based analytics to leverage subject matter expert views in the design of their analytics and algorithms
***ENGLISH PROFICIENCY ASSESSMENT WILL BE REQUIRED AFTER APPLICATION***
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:
- 3 + years of business analytics and data base management
- 3+ years of experience with relational SQL in data management, building ETL Pipelines
- 3+ years of experience is developing BI dashboards for business stakeholders including Senior Leadership
- 3+ years of experience in Tableau, Domo, Power BI or SSRS
- Available to work (40 hours/week) Monday- Friday. Flexible to work any of our 8-hour shift schedules during our normal business hours of (7:00am to 4:00pm AST) It may be necessary, given the business need, to work occasional overtime or weekends
- Available to work in Puerto Rico or willing to relocate
- English Proficiency
Preferred Qualifications:
- Experience in Microsoft Azure
- Experience in Python, R, SPSS or SAS
- Experience in Big Data Tools (Hadoop, Spark, Kafka, Hive)
At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.
UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Skills Required
- 3+ years of experience in business analytics and database management
- 3+ years of experience with relational SQL, data management, and building ETL pipelines
- 3+ years of experience developing BI dashboards for business stakeholders, including senior leadership
- 3+ years of experience with Tableau, Domo, Power BI, or SSRS
- Available to work 40 hours per week, Monday through Friday, on assigned 8-hour shifts during normal business hours; occasional overtime or weekends may be required
- Available to work in Puerto Rico or willing to relocate
- English proficiency
- Experience with Microsoft Azure
- Experience with Python, R, SPSS, or SAS
- Experience with big data tools such as Hadoop, Spark, Kafka, or Hive
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
