Senior Analytics Solutions Engineer
New
J
JobgetherHealthcare analytics
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Solutions Engineer based in the United States.Full-TimeSenior
SalaryAnnual salary range of $80,900–$110,300, depending on geographic location, relevant experience, skills, education, and qualifications. Eligibility for a bonus incentive plan based on company and/or individual performance.
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Job Details
- Experience
- At least 5 years of professional experience in business intelligence, analytics, data engineering, data visualization, or a related field; at least 3 years of hands-on SQL experience; at least 3 years of experience with Power BI or a comparable business intelligence platform.
- Required Skills
- PythonSQLMicrosoft Power BIData modelingPySpark
Requirements
- At least 5 years of professional experience in business intelligence, analytics, data engineering, data visualization, or a related field.
- At least 3 years of hands-on SQL experience extracting, transforming, analyzing, and validating data.
- At least 3 years of experience with Power BI or a comparable business intelligence platform.
- Experience developing reports, visualizations, data models, and business metrics.
- Experience delivering and maintaining recurring reporting solutions and analytics products.
- Ability to interpret complex business needs and translate them into technical solutions.
- Ability to turn complex datasets into clear, actionable insights for business and operational stakeholders.
- Azure Databricks or comparable cloud data and analytics platform experience is preferred.
- Python and/or PySpark experience is an advantage.
- Familiarity with semantic models, reusable datasets, standardized reporting frameworks, and consistent metric definitions is preferred.
- Experience with Genie One, Databricks AI/BI, conversational analytics, AI agents, or similar technologies is beneficial.
- Healthcare or managed care analytics experience is desirable, particularly Medicare Part D, pharmacy claims, PBM, CMS demonstration programs, or regulatory reporting.
- A master's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related discipline is preferred.
- Ability to work from a dedicated, interruption-free home workspace, protect confidential information, and comply with healthcare privacy requirements including HIPAA.
- A reliable internet connection with minimum speeds of 25 Mbps download and 10 Mbps upload is required.
- Occasional travel to company offices for meetings or training may be required.
Responsibilities
- Design, develop, and maintain standardized reporting and analytics solutions for healthcare programs, including the CMS GLP-1 Bridge demonstration.
- Build analytics-ready data solutions using Azure Databricks and SQL, including extraction, transformation, modeling, and validation.
- Create and maintain Power BI reports, dashboards, semantic models, measures, and visualizations.
- Develop reusable datasets, business metrics, and reporting frameworks for recurring analytical needs.
- Partner with business, clinical, pharmacy, analytics, and technology stakeholders to translate requirements into analytical solutions.
- Apply data validation, governance, documentation, and visualization best practices.
- Explore and implement conversational analytics and AI-powered capabilities, including tools such as Genie One.
- Improve analytics engineering practices, semantic modeling, cloud data solutions, and AI-enabled reporting.
- Select technical approaches and independently solve complex analytics problems.
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