
Senior Healthcare Data Analyst
Posted Aug 21

Posted Aug 21
This is a fully remote position, open to applicants in United States.
β’ Analyze intricate datasets related to eligibility, enrollment, claims and encounters, providers, utilization, financial aspects, and operations.
β’ Evaluate the impact of changes in federal and state Medicaid policies on eligibility, enrollment, coverage continuity, utilization, expenditures, access, operations, and the populations affected.
β’ Create analytical strategies for planning, monitoring, and evaluation implementation.
β’ Define, compute, validate, and interpret key performance indicators and measures.
β’ Produce dashboards, reports, analytical summaries, monitoring tools, and ad hoc analyses.
β’ Convert policy, program, operational, and business inquiries into population definitions, business rules, data requirements, reporting logic, analytical specifications, and validation criteria.
β’ Assist in system development and implementation through requirements validation, testing, user acceptance testing (UAT), production validation, release monitoring, and post-implementation assessments.
β’ Perform data profiling, reconciliation, reasonableness checks, and quality reviews.
β’ Investigate discrepancies and anomalies, collaborating with technical and business teams to address data issues.
β’ Utilize trend, cohort, utilization, expenditure, population, and comparative analyses.
β’ Establish reproducible analytical processes and document methodologies.
β’ Transform analyses into findings, visualizations, presentations, technical documentation, and actionable recommendations.
β’ Partner with Medicaid leaders, policy specialists, operations teams, technologists, vendors, actuaries, economists, and fellow analysts.
β’ Spearhead complex analyses, engage directly with client and project leadership, contribute to analytic methodologies and tools, and enhance sustainable data and analytic capabilities.
β’ Masterβs degree in health services research, public health, health informatics, statistics, biostatistics, data science, economics, health policy, mathematics, information systems, or a closely related quantitative field.
β’ A minimum of five years of progressively responsible experience in healthcare analytics, Medicaid or health and human services data analysis, health services research, program evaluation, or similar quantitative work.
β’ Practical experience with large and complex healthcare or administrative datasets.
β’ Advanced proficiency in SQL and/or analytic programming tools such as SAS, R, Python, or equivalent technologies.
β’ Experience in manipulating, analyzing, validating, and interpreting large and complex datasets.
β’ Proven ability to develop analytical methods, measures, reports, dashboards, data visualizations, and decision-support products.
β’ Capability to translate policy, program, operational, and business questions into structured analytical frameworks.
β’ Proficient in communicating findings, assumptions, limitations, and implications to both technical and non-technical audiences.
β’ Strong analytical, problem-solving, writing, documentation, and communication skills.
β’ Ability to work independently on complex analyses while collaborating across multidisciplinary teams.
β’ Competence in handling sensitive Medicaid, healthcare, personally identifiable information (PII), and protected health information (PHI) data appropriately.
β’ Familiarity with applicable privacy, security, confidentiality, and HIPAA regulations.
β’ Preferred: experience supporting a state Medicaid agency, Medicaid managed care organization, CMS-related Medicaid initiative, or in a Medicaid consulting or technology setting.
β’ Preferred: knowledge of Medicaid eligibility, enrollment, claims and encounters, managed care, and program operations.
β’ Preferred: experience with Medicaid eligibility systems, MMIS/MES environments, integrated eligibility systems, data warehouses, vendor-managed data platforms, or significant Medicaid policy and system implementations.
β’ Preferred: experience evaluating utilization, expenditures, access, population outcomes, coverage transitions, program performance, or policy and operational changes using administrative healthcare data.
β’ Preferred: familiarity with Power BI, Tableau, Jira, and SharePoint or similar tools.
β’ Eligibility for a discretionary annual bonus based on both company and personal performance.
β’ Comprehensive benefits that support physical, mental, career, social, and financial well-being.
β’ Reasonable accommodations provided for the application, interview, and job performance processes.
β’ A culture focused on learning, development, and well-being.
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