Data Analyst, Health

Join AIR as a Data Analyst with our Health team. Our Health team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts - nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts - advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools.

The selected candidate will collaborate in research, technical assistance, and operations projects funded by Federal Agencies (such as Centers for Medicare and Medicaid Services (CMS) and the Centers for Disease Control and Prevention (CDC), among others). The selected candidate will contribute to the analysis of healthcare data and provide support to the project director and/or senior team members on various tasks including querying large datasets including Medicare, Medicaid, and commercial payer claims data, cleaning and imputing data, creating analytic data files according to technical specifications, documenting procedures, conducting quality assurance processes, and performing analyses under the direction of senior members of the team.

Use your experience, knowledge, and education to help us deliver on our mission: to contribute to a better, more equitable world.

Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories.

About AIR:

Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world. We advance evidence in the areas of education, health, the workforce, human services, and international development to create a better, more equitable world.

AIR's commitment to diversity goes beyond legal compliance to its full integration in our strategy, operations, and work environment. At AIR, we define diversity broadly, considering everyone's unique life and community experiences. We believe that embracing diverse perspectives, abilities/disabilities, racial/ethnic and cultural backgrounds, styles, ages, genders, gender identities and expressions, education backgrounds, and life stories drives innovation and employee engagement. Learn more about AIR's Diversity, Equity, and Inclusion Strategy and hear from our staff by clicking here.

The responsibilities for the position include:

Query large databases including Medicare, Medicaid and commercial payer claims data
• Construct and document analytic data files
• Create customized and presentation-quality reports from data analysis results
• Apply quantitative methods and techniques to manage and analyze research data
• Participate in the design of research studies
• Manage administrative aspects of projects
• Support the preparation of technical procedures and reports
• Review work products to ensure quality and consistency of content

Education, Knowledge, and Experience:

• Bachelor's degree in Data Analytics, Mathematics, or related quantitative analytics field with a minimum of 2 years quantitative research experience in health policy or a related field, OR a Masters degree in quantitative analytics field, health policy, public policy, or public health
• 2 years of experience in SQL/Python/Linux
• Experience processing and analyzing Medicare, Medicaid, or other commercial claims data
• Knowledge of data analysis and data management techniques
• Experience with Snowflake and Databricks preferred, but not required.

Skills:

• Quantitative and qualitative research skills
• Strong communication and organizational skills
• Ability to learn quickly, take direction, and work independently
• Ability to take collaborative and consultative approaches to resolve issues
• Creative, professional, and able to take initiative
• Ability to collaborate effectively in a virtual work environment

Disclosures:

Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks.

AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers an anticipated annual salary of $80,000-95,000. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.

AIR maintains a drug-free work environment.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org.

If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.

#LI-SH1 #LI-Remote