Senior Health Analytics Consultant

Blu Omega; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

A healthcare consulting company seeks a Senior Health Analytics Consultant to analyze data for influencing healthcare policies. Ideal candidates will have a Master's degree and 6+ years of experience in health analytics, strong SQL and Python skills, and familiarity with Medicare and Medicaid systems. The role includes working on impactful projects utilizing large healthcare datasets to deliver actionable insights. Applicants must be U.S. Citizens capable of obtaining a Public Trust.

Qualifications

• 6+ years of experience in health analytics, research, consulting, or a similar environment.
• Strong knowledge of healthcare data structures and claims data.
• Ability to develop and verify analysis parameters, prepare documentation, and write high-quality code.

Responsibilities

• Shape healthcare policies through advanced data analysis.
• Deliver actionable insights to drive policy and financial decisions.
• Work on impactful projects involving Medicare and Medicaid payment models.

Skills

SQL

Python

R

SAS

Statistical methodologies

Healthcare datasets

Communication skills

Education

Masters degree or higher in Statistics, Economics, Public Health, Public Policy

Tools

Snowflake

Databricks

Job description

Join Blu Omega as a Senior Health Analytics Consultant and play a pivotal role in shaping healthcare policies through advanced data analysis. This dynamic opportunity is ideal for professionals passionate about leveraging data to improve health and human services programs. You will work on impactful projects involving Medicare and Medicaid payment models, utilizing your expertise in SQL, Python, R, SAS, and statistical methodologies to deliver actionable insights that drive policy and financial decisions.

Required Skills:

• Masters degree or higher in Statistics, Economics, Public Health, Public Policy, or a related field
• 6+ years of experience in health analytics, research, consulting, or a similar environment
• Proficiency with SQL, Python, R, and/or SAS for data analysis
• Experience working with healthcare claims and enrollment data within large data warehouse environments
• Strong knowledge of healthcare data structures, patient attribution concepts, and claims data
• Familiarity with complex healthcare databases such as the Integrated Data Repository or Chronic Conditions Warehouse
• Experience with Snowflake and/or Databricks
• Knowledge of Medicare and Medicaid payment methodologies
• Experience with parallel processing techniques for large datasets
• Ability to develop and verify analysis parameters, prepare detailed documentation, and write efficient, high-quality code
• Extensive hands‑on experience with large healthcare datasets and statistical modeling
• Experience with value‑based healthcare, specifically payment model implementation
• Proven track record of delivering actionable insights to influence health policy and payment models
• Excellent communication skills, with the ability to convey complex analyses clearly and collaborate effectively on teams
• Must be a clearable U.S. Citizen with the ability to obtain and maintain a Public Trust

Nice to have skills:

• Ph.D. in relevant fields
• Academic coursework in statistics or econometric modeling
• Experience conducting statistical analyses to inform health policy decisions
• Proficiency with Excel (pivot tables, VBA) and other data visualization tools
• Experience using artificial intelligence to support work

Additional Requirements:

• Availability to work on fast‑paced projects requiring precision and attention to detail
• Ability to collaborate effectively with clients and team members
• Commitment to maintaining high standards in data accuracy and documentation