Data Analytics Fellow
Reports to: Sr. Manager, Market Competitiveness Location: Washington, D.C. Rate: $29/hour
POSITION SUMMARY
The Data Analytics Fellowship requires a detail-oriented and enthusiastic individual interested in performance improvement, policy and data analysis, and in facilitating health care-related learning among ACHP’s member companies. To be successful in this position, a candidate must be a self-starter, dedicated to delivering high-quality analytics products. The successful candidate will contribute to ACHP’s analytic activities supporting ACHP’s policy agenda through analytic products and building new and innovative ways to use data to serve our member companies. The fellow should be interested in data analytics and health policy.
This fellowship affords a recent graduate the opportunity for rapid learning and growth. Drawing on strong quantitative skills, the fellow will learn about health care economics, managed health care market landscape and related priorities and quality measurement. This fellowship will provide an excellent foundation for a successful career in health care policy or health care analytics. Fellows will be involved in the day-to-day operations of the data analytics team. This position requires a one-year commitment and successful candidates will be strongly considered for full-time employment.
CORE DUTIES AND RESPONSIBILITIES
The Data Analytics Fellow supports the ACHP Market Competitiveness team with insight development, data analysis, and research and project management support. Some of how the fellow will support the team include:
• Analyzing publicly available and member-reported datasets (e.g., CMS enrollment, CMS Star ratings CAHPS, HOS, HEDIS) to better understand quality, competitive managed care market landscape and business impacts
• Using ACHP’s suite of databases, tools and resources
• Supporting analytic presentations to clearly and concisely convey insights for key internal and external audiences
• Collaborating with advocacy team in communicating data and research findings • Supporting work groups that consist of senior leaders from member organizations
• Provide technical and implementation support for AI and automation initiatives workflow development and AI-enabled tools
• Supporting ACHP’s cloud-based infrastructure and technical projects • Working with ACHP’s data analytics team to continuously enhance our analytic offerings by identifying and implementing new data sources and analytic approaches
PROFESSIONAL EXPERIENCE/QUALIFICATIONS
• Bachelor’s degree in public health, statistics, economics, business or similar area of study required. Graduate degree in mentioned areas are preferred
• Quantitative skills that include the ability to create data visualizations, be facile with descriptive statistics, understand causative versus associative relationships and incorporate evaluations of various data collection methodologies into analytic assessments
• Some experience with programing, analytical, statistical, database and data visualization software including PPT, Python, Excel, SAS, SQL or Tableau
• Familiarity and some proficiency with Amazon Web Services (AWS), Google Cloud or other cloud-computing infrastructure is a plus
• Familiarity and some proficiency with AI tools, large language models or automation platforms
• Confidence deploying AI in safe, secure manner to enhance the work product, generate efficiency and strengthen ACHP’s knowledge base
• Some familiarity with a variety of health care data sources, including HEDIS, CAHPS and CMS Medicare Advantage Star Ratings and Enrollment Data files is a plus
• 1-2 years of relevant health care experience or quantitative analysis preferred
• The ability to manage and organize complex and detailed assignments • Confident and friendly verbal communication with a customer-focused mindset
• Demonstrated attention to detail and strong organizational abilities
WORKING CONDITIONS/PHYSICAL DEMANDS
• Work is in an office environment, unless altered by CEO
• May be occasionally required to stand, walk or reach with arms
APPLICATION PROCESS
Please submit a resume and cover letter to ACHP Human Resources at hr@achp.org. Please include ‘Data Analytics Fellow‘ followed by your first initial and last name in the subject line of your email.
ACHP does not discriminate on the basis of race, color, religion, national origin, citizenship status, sex (including pregnancy, childbirth, related medical conditions, and a woman’s right to breastfeed), disability (physical or mental), age (18 and older), genetic information, sexual orientation, gender identity or expression, matriculation, family responsibilities, personal appearance, political affiliation, marital status, veteran or military status, tobacco use, credit information or any other characteristic protected by federal, state or local law. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. We do not sponsor work visas.
COMPANY PROFILE
The Alliance of Community Health Plans (ACHP) represents the nation’s top-performing non-profit health organizations to improve affordability and outcomes in health care. ACHP member organizations embrace a unique partnership model in health care, bringing together health plans and providers on behalf of the patients and communities they serve. ACHP advocates on behalf of its members, highlighting tested solutions impacting communities nationwide and a proven approach that delivers better value for patients, employers and taxpayers.
ACHP is committed to diversity, inclusion and equity within our organization and the promotion of these values across the health sector. We encourage different perspectives, identities and backgrounds, regardless of job function in order to create a more resilient organization that supports a strong, equitable health industry. We foster this by encouraging openness and transparency about diversity issues and we are invested in strategies that seek to equalize opportunities within ACHP.