Principal Consultant Job Austin area,Texas USA,IT/Tech

The Data Analyst III serves as a senior analytics professional and strategic partner responsible for transforming complex healthcare, clinician adoption, usability, and operational data into actionable insights that drive organizational decision-making and technology optimization. This role leads enterprise reporting initiatives, advanced analytics, predictive trend analysis, and data modernization efforts, including the migration of reporting assets and datasets to Oracle cloud-based analytics platforms.

The ideal candidate combines expertise in healthcare analytics, business intelligence, data visualization, and emerging AI technologies to support clinical adoption programs, operational performance, clinician experience, and measurable organizational outcomes.

Key Responsibilities

Design, develop, maintain, and enhance enterprise dashboards and reports using Tableau, Oracle Analytics Cloud (OAC), and related analytics platforms.
Manage data assets, reporting processes, and migrations of datasets, dashboards, and reporting solutions from Tableau and Excel to OAC and OCI environments.
Deliver quarterly clinician identification analyses, ROI reporting, and annual clinician experience reports focused on usability, adoption, and clinical outcomes.
Analyze site-level, enterprise-level, and clinician-level performance data to identify trends, opportunities, and areas for optimization.
Expand analytics capabilities by integrating usability, adoption, operational, and clinical outcome measures into comprehensive reporting solutions.
Perform advanced analytics, predictive modeling, and trend forecasting using healthcare, federal, and industry datasets to support strategic decision-making.
Collaborate with Adoption Managers, clinical leaders, and stakeholders to define metrics, communicate value, and identify opportunities for increased adoption and performance improvement.
Present data-driven insights, recommendations, and executive-level reports to leadership and operational teams.
Ensure data quality, governance, validation, and reporting accuracy across enterprise analytics initiatives.
Leverage AI-enabled tools, including ChatGPT and Codex, to improve analytics workflows, reporting efficiency, documentation, and insight generation.

Basic Qualifications

Bachelor's degree in Data Analytics, Statistics, Healthcare Informatics, Computer Science, Information Systems, Business Analytics, or a related field.
5+ years of experience in healthcare analytics, business intelligence, data management, or related analytical roles.
Advanced proficiency in Tableau dashboard development, administration, optimization, and maintenance.
Experience managing complex reporting environments and enterprise-scale analytics initiatives.
Strong expertise in SQL, data modeling, data transformation, and reporting methodologies.
Demonstrated experience presenting analytical findings and recommendations to leadership and cross-functional stakeholders.
Experience with healthcare operational, adoption, usability, or clinical performance data.

Preferred Qualifications

Experience with Oracle Analytics Cloud (OAC) and Oracle Cloud Infrastructure (OCI).
Experience leading or supporting migrations from Tableau, Excel, or legacy reporting platforms to cloud-based analytics environments.
Experience with Oracle Advance and Lights On Network (Lights On Data) analytics platforms.
Experience working with EHR, clinician adoption, healthcare quality, and clinical outcome data.
Knowledge of predictive analytics, statistical modeling, and trend forecasting methodologies.
Experience utilizing AI-assisted analytics and productivity tools, including OpenAI ChatGPT, Git Hub Copilot/Codex, or similar technologies, to improve analytical workflows, reporting automation, documentation, and insight generation.
Proficiency in Python, R, SAS, or other analytical programming languages.