Health Data Analytics Consultant

Optum; Reston (VA); Hybrid; USD 92,000 - 164,000; Full time

Benefits offered by this job

Benefits package

Incentives and recognition programs

Equity stock purchase

401k contribution

Job summary

Optum Serve Consulting/The Lewin Group (OSC/Lewin) is seeking a Health Data Analytics Consultant to support Medicare/Medicaid payment model work. You will apply Python/SQL or R, statistics, and machine learning to analyze health data and inform policy decisions, working in large healthcare data environments.

The role offers remote flexibility nationwide with required in-office time in Minneapolis or Washington, D.C. areas four days per week.

Qualifications

• 4+ years of experience in health/analytics related field.
• 4+ years of experience using Python, SQL or R in a research, consulting, or business environment.
• Experience working with medical claims and enrollment data in large data warehouse environments.
• Experience in preparing data and information and contributing to reports and presentations.
• Experience working on implementing or evaluating value-based payment programs.
• Experience working in Snowflake or Databricks environments.
• Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts).
• Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines.

Responsibilities

• Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
• Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
• Work with clients to verify analysis parameters and specifications
• Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
• Efficiently query large databases of healthcare claims and eligibility data
• Write detailed specifications and documentation of data processing and analytical steps
• Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
• Maintain a consistently high degree of accuracy and attention to detail in all tasks
• Work effectively and cooperatively as a member of a project teams
• Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks

Skills

Health analytics

Python

SQL

R

Communication skills

Data visualization

Tools

Snowflake

Databricks

SAS

Excel

Job description

For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. Optum Serve Consulting/The Lewin Group (OSC/Lewin), a premier national health care and human services consulting and policy analysis firm, brings 50 years of experience finding answers and solving problems for leading organizations in the public, non-profit, and private sectors. In the wide-ranging field of health human services consulting, OSC/Lewin provides both depth and breadth of expertise. Currently, OSC/Lewin has more than 250 consultants drawn from industry, government and academia. They all share a solid commitment to OSC/Lewin's core values of objectivity, integrity, analytical innovation, vision, and dedication to client satisfaction. At OSC/Lewin, we help federal, state, and other decision-makers strengthen health and human services programs, make informed policy choices, and implement critical initiatives. The Health Data Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SQL or Python experience as well as knowledge of statistics and research methodology.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Schedule

Monday - Friday, daylight

Primary Responsibilities

• Perform a broad range of quantitative analysis to inform the design, implementation, and evaluation of Medicare and Medicaid payment models
• Support the development of payment calculations, conduct financial and trend analysis, calculate quality metrics, and perform fast-paced ad-hoc analysis to quickly address client needs
• Work with clients to verify analysis parameters and specifications
• Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy
• Efficiently query large databases of healthcare claims and eligibility data
• Write detailed specifications and documentation of data processing and analytical steps
• Write effective and efficient code both independently and under the guidance of project managers using best practice quality control procedures
• Maintain a consistently high degree of accuracy and attention to detail in all tasks
• Work effectively and cooperatively as a member of a project teams
• Prepare data and information for internal as well as external use, contribute to reports, and assist with project coordination tasks

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

• 4+ years of experience in health/analytics related field
• 4+ years of experience using Python, SQL or R in a research, consulting, or business environment
• Experience working with medical claims and enrollment data in large data warehouse environments
• Experience in preparing data and information and contributing to reports and presentations
• Experience working on implementing or evaluating value-based payment programs
• Experience working in Snowflake or Databricks environments
• Familiarity with healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts)
• Proven excellent oral and written communication skills, solid interpersonal skills, and a focus on meeting deadlines

Preferred Qualifications

• Experience conducting statistical analysis to inform health policy
• Experience with databases having complex structures and relationships, such as the Integrated Data Repository or Chronic Conditions Warehouse
• Experience managing and analyzing large datasets using SAS grid and other parallel processing techniques
• Experience with other software such as Excel (e.g., pivot tables, VBA)
• Understanding of Medicare and Medicaid payment methodologies
• All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as:

• a comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution

All benefits are subject to eligibility requirements. No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

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.

OptumCare is 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.

OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.