Senior Analytics Solutions Engineer

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. We are looking for a skilled analytics professional to design and deliver scalable reporting solutions that transform complex healthcare data into actionable business insights. In this role, you will combine analytics engineering, data modeling, and visualization to build reliable reporting products that support operational performance and strategic decision-making. You will work extensively with Azure Databricks, SQL, and Power BI to develop reusable datasets, standardized metrics, and governed analytical models. Collaborating with business, clinical, pharmacy, and technology teams, you will translate evolving requirements into sustainable, user-friendly analytics solutions. You will also explore emerging AI-enabled and conversational analytics capabilities to make trusted data more accessible and useful to business stakeholders. This position offers the opportunity to influence analytics standards, modernize reporting practices, and contribute to innovative healthcare technology initiatives. If you enjoy solving complex data challenges and building scalable solutions in a collaborative, remote-first environment, this role offers an exciting opportunity to make a meaningful impact. 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.