Senior Analytics Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain standardized reporting and analytics solutions that support the CMS GLP-1 Bridge demonstration and future related initiatives.

• Build data solutions that are ready for analytics using Azure Databricks and SQL, encompassing data transformation, modeling, validation, and reusable business logic.

• Develop and maintain Power BI reports, semantic models, metrics, and visualizations.

• Create reusable datasets, metrics, and reporting patterns to standardize ongoing analytical requirements and minimize manual and ad hoc reporting.

• Collaborate with business, clinical, pharmacy, analytics, and technology stakeholders to transform complex requirements into scalable analytical solutions.

• Implement data quality, governance, documentation, and visualization best practices.

• Investigate and utilize AI-enabled and conversational analytics, including Genie One.

• Enhance team capabilities in Power BI, Azure Databricks, semantic modeling, analytics engineering, and AI.

• Independently identify technical approaches and solutions for assignments that range from moderately complex to complex.

⛳️ Requirements

• A minimum of 5 years of professional experience in business intelligence, analytics, data engineering, data visualization, or a related field, with a focus on building analytical solutions for business users.

• At least 3 years of experience utilizing SQL for data extraction, transformation, analysis, and validation.

• A minimum of 3 years of experience with Power BI or a similar data visualization and business intelligence platform, including the development of reports, visualizations, data models, or business metrics.

• Proficiency in transforming complex data into accessible, actionable insights for business leaders and stakeholders.

• Experience in creating standardized, recurring reporting and analytics solutions to meet ongoing business or operational needs.

• Ability to independently convert complex requirements into analytical solutions and effectively communicate with both technical and non-technical teams.

• A minimum home internet speed of 25 Mbps download and 10 Mbps upload.

• A Master's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field (preferred).

• At least 2 years of hands-on experience with Azure Databricks or a comparable cloud data and analytics platform (preferred).

• Experience using Python and/or PySpark for data processing, transformation, automation, or analytics development (preferred).

• Experience in developing semantic models, reusable analytical datasets, or standardized reporting frameworks (preferred).

• Familiarity with Genie One, Databricks AI/BI, conversational analytics, AI agents, or similar AI-enabled analytics capabilities (preferred).

• Experience in healthcare or managed care analytics, including Medicare Part D, pharmacy claims, PBM, CMS demonstrations, or regulatory reporting (preferred).

• Knowledge of data governance practices or technologies, Microsoft analytics tools, and/or relevant Microsoft or Databricks certifications (preferred).

🏝️ Benefits

• Bonus incentive plan based on company and/or individual performance.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Self-provided home internet arrangement for remote work.

• Dedicated workspace to protect member PHI / HIPAA information.