Senior Learning Data Visualization Engineer

Humana is a leading healthcare services company focused on creating integrated experiences for patients. The Senior Learning Data Visualization Engineer will support the Pharmacy Learning organization by developing Power BI solutions and enhancing data-driven decision-making through effective visualizations and analytics.

Responsibilities:

• Develop, maintain, and optimize Power BI dataflows, dashboards, and visuals
• Schedule and monitor dataset refreshes to ensure accurate reporting
• Aggregate, standardize, and reconcile data from multiple internal and external learning sources
• Monitor and troubleshoot API integrations and automated ETL processes, resolving issues and validating results
• Investigate and resolve data discrepancies by applying reconciliation and equivalency logic to learner records
• Build user-friendly interfaces and visualizations to make data accessible, understandable, and actionable for a variety of stakeholders
• Administer user access and security groups across Power BI environments
• Collect and analyze learning metrics from past training sessions
• Identify performance gaps and support audits of technology solutions, including data warehousing and Power Platform visualizations
• Monitor and evaluate training program metrics, connect learning outcomes to on-the-job performance statistics and KPIs, and assess the impact of learning initiatives on business unit outcomes to prepare insights for leadership
• Partner with business unit leaders and other stakeholders to report on training program metrics and outcomes
• Support audits and ensure compliance reporting
• Partner with stakeholders to plan for future interventions and continuous improvement of learning strategies

Requirements:

• Bachelor's Degree and 5 or more years of professional experience in data analytics, business intelligence, and building user interfaces, visualizations, and data algorithms
• Advanced proficiency in Power BI development and administration
• Experience making complex data accessible, analyzing data to solve a wide variety of business problems, and creating data visualizations that drive strategic direction
• Strong understanding of data integrity, governance, and security best practices
• Strong knowledge of data modeling, ETL processes, and reconciliation techniques
• Experience with large, complex datasets and healthcare-related data
• Experience with presenting technical information to non-technical audiences
• Proven analytical, troubleshooting, and collaborative skills
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Advanced degree in technology or quantitative discipline
• Experience with LMS data, HR analytics, or learning measurement
• Experience with API integrations (Cornerstone or other LMS)
• Familiarity with Databricks, Azure Synapse Analytics, or similar
• Healthcare or managed care analytics experience
• Experience with reporting and creating metrics for management
• Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
• Experience with Ai prompt engineering