Senior Analytics Solutions Engineer

Accountabilities • Analytics Solution Development: Design, develop, and maintain standardized reporting and analytics solutions that support ongoing healthcare programs, including the CMS GLP-1 Bridge demonstration and related initiatives.

• Data Transformation and Engineering: Build analytics-ready data solutions using Azure Databricks and SQL, including data extraction, transformation, modeling, validation, and the development of reusable business logic.

• Power BI Reporting and Visualization: Create and maintain Power BI reports, dashboards, semantic models, measures, and visualizations that provide consistent, reliable insights into program performance and operational activities.

• Reusable Data Products and Metrics: Develop standardized datasets, business metrics, and reporting frameworks that address recurring analytical needs, improve consistency, and reduce dependence on manual or ad hoc reporting.

• Stakeholder Collaboration: Partner with business, clinical, pharmacy, analytics, and technology stakeholders to understand complex requirements and translate them into scalable, practical analytical solutions.

• Data Quality and Governance: Apply data validation, governance, documentation, and visualization best practices to ensure analytical products are accurate, trustworthy, understandable, and maintainable.

• AI-Enabled Analytics Innovation: Explore and implement conversational analytics and AI-powered capabilities, including tools such as Genie One, to improve data accessibility and enable users to interact more effectively with governed datasets.

• Technical Capability Development: Contribute to the continuous improvement of analytics engineering practices, semantic modeling, cloud data solutions, Power BI development, and AI-enabled reporting capabilities.

• Independent Technical Leadership: Exercise sound judgment and considerable autonomy in selecting technical approaches, solving moderately complex to complex problems, and delivering effective analytics solutions aligned with business objectives.

Requirements

• Professional Experience: At least 5 years of professional experience in business intelligence, analytics, data engineering, data visualization, or a related field, including the delivery of analytical solutions for business users.

• SQL Expertise: At least 3 years of hands-on experience using SQL to extract, transform, analyze, and validate data.

• Business Intelligence and Visualization: At least 3 years of experience with Power BI or a comparable business intelligence platform, including the development of reports, visualizations, data models, and business metrics.

• Analytical Problem-Solving: Demonstrated ability to transform complex datasets into clear, actionable insights that support business leaders and operational stakeholders.

• Standardized Reporting: Experience developing and maintaining recurring reporting solutions and analytics products for ongoing business or operational requirements.

• Requirements Analysis: Ability to independently interpret complex business needs, translate them into effective technical solutions, and communicate clearly with both technical and non-technical audiences.

• Cloud Data Platforms: Hands-on experience with Azure Databricks or a comparable cloud data and analytics platform is preferred, particularly in data transformation, analytical modeling, and the development of analytics-ready datasets.

• Programming Skills: Experience with Python and/or PySpark for data processing, transformation, automation, or analytics development is an advantage.

• Semantic Modeling and Data Reusability: Familiarity with semantic models, reusable analytical datasets, standardized reporting frameworks, and consistent business metric definitions is preferred.

• AI and Conversational Analytics: Experience with Genie One, Databricks AI/BI, conversational analytics, AI agents, or similar AI-enabled analytical technologies is beneficial.

• Healthcare Analytics Knowledge: Experience in healthcare or managed care analytics is desirable, particularly in Medicare Part D, pharmacy claims, pharmacy benefit management (PBM), CMS demonstration programs, or regulatory reporting.

• Education and Certifications: A master's degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related discipline is preferred. Relevant Microsoft or Databricks certifications and familiarity with data governance tools are also advantageous.

• Communication and Collaboration: Strong organizational skills, attention to detail, adaptability, and the ability to collaborate across multidisciplinary teams while managing assignments independently.

• Remote Work Readiness: Ability to work effectively from a dedicated, interruption-free home workspace while protecting confidential information and complying with applicable healthcare privacy requirements, including HIPAA. A reliable internet connection with minimum speeds of 25 Mbps download and 10 Mbps upload is required.

• Flexibility and Learning Mindset: Willingness to expand technical capabilities across cloud data platforms, visualization tools, and emerging AI technologies. Candidates with strong analytics and reporting fundamentals are encouraged to apply even if they do not meet every preferred qualification.

• Travel Availability: Although the position is remote, occasional travel to company offices for meetings or training may be required.

Benefits

• Competitive Base Salary: Annual salary range of $80,900–$110,300, depending on geographic location, relevant experience, skills, education, and qualifications.

• Performance-Based Incentives: Eligibility for a bonus incentive plan based on company and/or individual performance.

• Remote Work Flexibility: Nationwide remote working arrangement, with occasional travel for meetings or training.

• Medical Coverage: Healthcare benefits designed to support employee well-being and healthcare needs.

• Dental and Vision Insurance: Coverage options to support dental and vision care.

• Retirement Savings: Access to a 401(k) retirement savings plan.

• Paid Time Off: Paid time off, company holidays, and personal holidays.

• Family Support: Paid parental and caregiver leave.

• Disability Coverage: Short-term and long-term disability benefits.

• Life Insurance: Coverage to provide additional financial protection.

• Well-Being Support: Benefits and resources designed to support personal wellness, healthcare decisions, and work-life balance.

• Professional Growth: Opportunities to develop expertise in cloud analytics, healthcare data, semantic modeling, business intelligence, and emerging AI technologies. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1