Analyze complex data using advanced statistical techniques to inform Health Pivots reporting and product enhancements.
Identify and leverage new tools, processes, and methodologies to strengthen Health Pivots data models and analytic workflows.
Acquire, clean, and manage datasets from multiple sources to support Health Pivots platform accuracy and performance.
Identify trends, patterns, and anomalies that improve Health Pivots’ ability to deliver actionable market and organizational intelligence.
Build compelling dashboards and visualizations that help clients understand and apply Health Pivots insights.
Troubleshoot data quality issues, identify root causes, and implement improvements to elevate Health Pivots data integrity.
Collaborate with business stakeholders to prioritize analytics needs specific to Health Pivots initiatives.
Support ongoing process improvement efforts to increase the value, efficiency, and scalability of Health Pivots analytics.

Bachelor’s degree or equivalent practical experience
5+ years of data analysis experience
Experience with BI/reporting tools (SSRS, Crystal Reports, Tableau, Qlik, Power BI)
Strong SQL skills and experience with RDBMS systems
Programming experience (Java, .NET, Python, XML, JavaScript)
Experience analyzing large datasets from ETL frameworks
Experience with statistical tools (Excel, SPSS, SAS)
Experience with relational and NoSQL database systems

Senior Data Analyst – HealthPivots

Key skills