Remote Senior Analytics Consultant

Summary

Join our team as a Sr. Analytics Consultant and work remotely on a 6+ month contract with extension opportunities. Your primary responsibility will be to lead projects that improve health and financial outcomes, support clients, and collaborate with operations staff. You'll analyze data, identify opportunities, and communicate results to clients.

Requirements

• Master’s or equivalent in epidemiology, public health, mathematics, health services research preferred (but not required)
• 10+ years of experience in healthcare data analysis (including EMR/EHR, claims, eligibility and publicly available data such as CMS LDS)
• Utilization of analytical tools including SQL, SAS, SPSS, and/or open-source including Python and R, or similar
• Deep familiarity with HEDIS & CMS care quality measures; experience implementing both HEDIS and CMS measures using SAS and/or SQL
• Attitude: A generally positive demeanor and outlook, works well with others and is community-minded, has a proactive leadership orientation, and enjoys contributing through work
• Healthcare Domain Knowledge: Conceptual understanding of how hospitals and systems work, how they’re paid by commercial carriers and the government, and how changing reimbursement is necessitating that hospitals and health systems be able to identify and manage risk; be able to decipher the healthcare-alphabet-soup that includes ACA, ACO, AMA, BMI, CMS, through to HIE and HIPAA, etc
• Healthcare Data Expertise: Current “hands-on” working knowledge of healthcare data, including data from EMR/EHR and/or from medical and pharmacy administrative claims; strong preference will be given to those with expertise from working with claims data from multiple lines of business and payers
• Social Determinants of Health (SDH) Expertise: Also, current “hands-on” knowledge of seeking out new sources of socioeconomic, public record, biometric, and retail/consumer data, including acquisition of new SDH sources
• Analytical Actions: Logical and systematic approach to problem solving, with the ability to visualize, articulate, and solve complex problems and concepts, make decisions, and take appropriate action
• Multi-Faceted: Track record in charting untested waters; need to possess conceptual skills to learn new technologies, and contribute to areas such as infrastructure, administration, and project management with ease
• Handy with Tools: Working knowledge of database and analytic tools including SQL and SAS (or, equivalents)
• Data Model Knowledge: Have a deep enough understanding of data model approaches to be able to discuss the pros/cons of each with our clients and data architects and create business requirements
• Technical Leadership: Experience in conceptualizing analytic projects end-to-end and ability to guide other analysts with detailed reviews of their work and providing overall technical leadership
• Value Orientation: Ability to constantly calibrate activities to ensure effort is focused on value and not solely on technical activities, cost, and schedules

Responsibilities

• Understand the client’s business goals well-enough to ensure the SOW will meet their needs
• Lead the discovery of the client’s EMR/EHR and/or claims data environment so we can efficiently and effectively navigate and do the analyses
• Lead the analytical-interrogation of their EMR/EHR and/or claims data to perform data quality checks
• Partner with our biostatisticians and data scientists to perform the analyses and displays
• Communicate results/findings with the client and identify implications and recommend actions