Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that is improving the lives of millions. Here, innovation is not about another gadget; it is about making health care data available wherever and whenever people need it, safely and reliably. There is no room for error. If you are looking for a better place to use your passion and your desire to drive change, this is the place to be. It's an opportunity to do your life's best work.(sm)
This role will be responsible for modeling complex business problems, uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. This individual will need to have a natural desire to go beneath the surface of a problem to ask the right (business) questions, and produce answers in support by digging into large data sources and applying statistical rigor. The ideal candidate will have a knack for thinking "Big Picture" as well as enjoy digging into the details, applying 3 key elements to challenging healthcare problems: Analytical Rigor, Creativity and Business Focus.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:

• Analyze complex member data (e.g. relational databases, star schema's, etc) and turn into actionable insights in support of the long and short term goals of the company
• Integrating and preparing large, varied datasets, both internal member behaviors as well as exogenous data sources, to get a holistic understanding of member preferences and behaviors
• Build predictive and analytical models by using techniques such as logistic regression, OLS regression, k-means segmentation, PCA, decision trees
• Produce meaningful recommendations for influencing member engagement and outreach strategies by using data mining, statistical analysis and predictive modeling
• Dig beneath the surface of a problem to ascertain the "Why" in the backend data, uncover the true reasons data patterns and skews may be showing up, and convert those findings into clearly understandable, data-backed recommendations, to influence future member engagement strategies
• Responsible for uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
• Distil patterns in data, many times dirty data that doesn't make sense. Ability to spot dirty data and think out of the box about how to accommodate in order to produce trustworthy results given these constraints
• Develop presentations around insights and tell compelling stories with the data, and deliver to constituents at all levels: strategic, tactical, operational, and across functions: marketing, operations, finance, etc.
• Communicate and present findings, orally and visually in a way that can be easily understood by business counterparts

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:

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science or Actuarial Science or related field
• 3+ years of experience in advanced SQL working with relational data in large enterprise environments with large datasets (e.g. 1+billion records)
• 3+ years of experience with data extraction/manipulation/transformation in environments such as SQL server, Netezza, Teradata, or Oracle
• 3+ years of experience working with statistics to perform analyses, data modeling and predictive behavioral modeling
• 3+ years of experience developing compelling presentations around insights to be delivered to leaders across the organization and external customers
• 3+ years of experience combining numerous exogenous data sources (e.g. demographics/psychographics/SDoH) with consumer transactional and behavioral attributes to support advanced modeling efforts
• 3+ years of statistical modeling experience using analytical algorithms such as Logistic Regression, OLS regression, etc.

Preferred Qualifcations:

• Master's degree in a quantitative/business field
• 3+ years of experience in one of the following languages: R, Python, SAS
• Experience with Microsoft Azure or Amazon AWS
• Experience with experimental design (design of experiments)
• Experience with text mining/text analytics
• Experience with applications such as Jupyter Notebooks, Spark
• Knowledge of healthcare administrative data (medical claims, enrollment, provider data)
• Solid knowledge of extracting and developing key consumer insights within a population, distilling insights, and presenting to business leadership
• Highly evolved problem-solving skills and adept at understanding and resolving unstructured problems
• Excellent written and communication skills

To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies now require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles require full COVID-19 vaccination as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment.
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut / Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives.
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
Job Keywords: Senior Manager Data Analytics, analytics, data science, reporting, data, Telecommute, Telecommuting, Telecommuter, Work From Home, Work At Home, Remote