Accompany Health is on a mission to give patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice. We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way. To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive. While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you’re eager to make a tangible difference in people’s lives, to help correct long-standing disparities in health care, join us. About the role As a Senior Healthcare Data Analyst for Accompany Health you will be • A mission-critical, early part of our growing finance team (and company) • Help to build the data assets, processes and models that will provide insight into the company’s medical expense and risk adjustment performance • Collaborate with our highly talented product, engineering, clinical, and operations teams that come from a variety of backgrounds Responsibilities will include • Demonstrate mastery of SQL and BI tools (e.g., Tableau or Looker) to efficiently derive complex datasets and dashboards • Serve as the Sr Data Analyst for the monthly enterprise reporting process. This will include taking a leading role reviewing reporting domains such as patient engagement, HEDIS, CMS HCC compliance and additional as necessary • Support the financial and operational team to understand business performance and identify areas for improvement • Develop, implement and maintain consistent process for data quality controls to ensure data integrity and make recommendations to improve data integrity • Conduct analytics and reporting using data from payer claims, CMS files, electronic medical records, and other sources to deliver actionable insights to various teams • Fulfill ad hoc data requests for stakeholders • Work directly with product and Engineering teams to define data requirements for payer data ingestion and data warehousing • Maintain clean and well-documented code • Work with team-members to develop and continuously improve best practices • Mentor others What makes you a fit for the team • You approach your work with humility and flexibility, recognizing that our system of care will need to learn and adapt to the needs of patients with complex needs • You show empathy for the needs of patients, clinicians, and your colleagues to change the fundamental paradigm of care delivery for marginalized patients • You have a distinctive ability to get a highly cross-functional group of stakeholders – technical and non-technical – on the same page • You focus on getting things done in the most effective, efficient manner for the task at hand – rather than following a specific process for its own sake • You have the resilience to dive headfirst into challenging problems – healthcare is complicated and there’s a lot to be fixed • You are excited to work in a startup environment, with the ambiguity and shifting priorities that might come with it at times Desired skills and experience Required • 4+ years experience in healthcare data analytics or healthcare economics • 4+ years experience with analytic and modeling tools and software (SAS, SQL, Python, R, etc) • Demonstrated understanding of key managed care concepts such as Risk Adjustment, Provider Capitation, Diagnosis Related Groups (DRG’s), Ambulatory Patient Groups (APF’s), etc • Ability to review new datasets for accuracy and consult with key stakeholders to contextualize data inconsistencies and the resulting impact to reporting and measurement design • Excellent written and verbal communication skills Preferred • Experience working with government healthcare programs such as Medicare, Medicare Advantage, and Medicaid • Familiarity with value-based care • Intermediate to advanced knowledge of data visualization tools (e.g., Tableau or Looker) is a plus The base salary range for this full-time position is $120,000-$135,000 + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Our talent team can share more about the specific salary range for your preferred location during the hiring process. #LI-LB1 #LI-Remote For Patient Facing Roles To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis. We embrace diversity and believe it creates a healthier atmosphere Accompany Health is an Equal Employment Opportunity 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Apply To this Job