Healthcare Data Analytics Senior

TSP LLC• US,

17h•$130,000 - $200,000

About The Position

As a Healthcare Data Analytics Senior, you will be an experienced professional in health data management and analytics, providing technical assistance and capacity building for Centers for Medicare and Medicaid Services (CMS) programs and related projects. This role will help clients and project teams strengthen their ability to use CMS data, analytics platforms, and data science methods to generate actionable insights, improve implementation, and support evidence-informed decision-making. The successful candidate will translate complex data analytics and data science concepts into practical guidance, tools, training, and coaching for technical and non-technical audiences. They will support teams in applying CMS claims and enrollment data, analytics platforms, statistical methods, visualization, and data storytelling to build sustainable analytic capacity and improve the quality and use of data products.

Requirements

Bachelor’s Degree + Twelve years of relevant experience, or Master’s Degree + Ten years of relevant experience, or PhD + Eight years of relevant experience.
Candidates must have experience or strong working familiarity with one or both of the following CMS systems and data environments: IDR — Integrated Data Repository, VRDC — Virtual Research Data Center
Experience designing or supporting data architecture in healthcare, CMS, Medicare, Medicaid, or claims-based environments.
Strong understanding of healthcare data structures, including claims, enrollment, provider, beneficiary, payment, and utilization data.
Experience with data modeling, data mapping, ETL/ELT concepts, metadata management, and data governance.
Strong SQL and data analysis skills.
Ability to assess data quality, identify anomalies, and support validation processes.
Experience working with secure data environments and sensitive healthcare data.
Knowledge of privacy, compliance, and security considerations related to CMS or regulated healthcare data.
Ability to communicate complex data concepts to technical and non-technical stakeholders.
Strong documentation skills, including data flow diagrams, architecture artifacts, requirements documentation, and analytic specifications.
At least 5 years of experience supporting CMS contractors, federal healthcare programs, or government data initiatives.
US work authorization required.

Nice To Haves

Experience with DataConnect
Experience with TMSIS
Additional exposure to other CMS, Medicare, Medicaid, or healthcare data platforms is a plus.
Familiarity with healthcare analytics tools, business intelligence platforms, or statistical programming languages such as Python, R, SAS, or similar.
Experience with fraud, waste, and abuse analytics, program integrity, payment integrity, or claims anomaly detection strongly preferred.
Ability to evaluate emerging data technologies and recommend practical applications for CMS data use cases.
Active credentials to work on CMS systems strongly preferred.

Responsibilities

Provide technical assistance and capacity building to clients, partners, and project teams on the use of CMS data, analytics platforms, and data science approaches to support CMS projects.
Develop practical guidance, training materials, analytic playbooks, code examples, templates, and other resources that help teams apply data analytics and data science methods consistently and effectively.
Coach and mentor staff and client stakeholders across the data lifecycle, including data acquisition, data management, analysis, automation, visualization, quality assurance, and interpretation of findings.
Lead cross-functional teams in querying claims and enrollment data, creating analytic files, performing risk adjustment and price standardization, conducting statistical and other analyses, and translating results into clear insights for decision-making.
Design and support quality assurance processes for code, analytic requirements, defect tracking, documentation, reproducibility, and requirements traceability.
Facilitate collaborative working sessions, trainings, and other capacity-building activities that strengthen analytic skills and promote adoption of best practices.
Apply deep knowledge of CMS programs and data content, especially those associated with payment model innovation and measurement of health outcomes.
Work collaboratively across cross-functional teams, communicating technical concepts clearly to both technical and non-technical audiences.