Lead & Mentor a Growing Team – Supervise, coach, and develop a team of Data Insight Analysts, fostering collaboration, professional growth, and a culture of excellence.
Partner Across the Business – Work closely with the Manager, Client Reporting + Analytics and cross-functional stakeholders to align analytics strategy with organizational goals and client expectations.
Deliver Data That Drives Action – Oversee the creation of client-facing reports and performance dashboards that provide valuable insights into operations, patient access programs, and key performance metrics.
Champion Data Quality & Accuracy – Ensure all reporting is delivered with precision, consistency, and relevance, maintaining high standards across data validation and QA.
Optimize Processes – Identify opportunities to streamline workflows, automate reporting, and enhance team efficiency through technology and best practices.
Recruit & Develop Talent – Support onboarding and training of new analysts while ensuring the team remains engaged, equipped, and motivated.
Stay Ahead of the Curve – Keep current on data analytics trends, visualization tools, and reporting innovations to continuously evolve our data ecosystem.
Requirements
Bachelor’s degree in Business Administration, Information Systems, Statistics, Data Analytics, or a related field; Master’s degree preferred.
4+ years of professional experience in data analytics, reporting, or business intelligence, with at least 2 years in a leadership, team-lead, or supervisory capacity.
Proven experience working in a healthcare, pharmaceutical, or technology-driven environment strongly preferred.
SQL Mastery – Strong ability to write complex queries, extract and manipulate data, and validate results from large relational databases.
Data Visualization – Advanced proficiency in Tableau (or equivalent BI tools such as ThoughtSpot or Power BI) to build interactive dashboards and meaningful visual insights.
Data Quality Management – Demonstrated ability to ensure accuracy, consistency, and completeness of data across multiple sources and systems.
ETL & Data Architecture – Familiarity with modern data pipelines, data warehouses (e.g., Snowflake, Azure SQL, dbt), and data modeling best practices.
Excel Expert – Strong command of Excel for ad-hoc analysis, pivot tables, and data validation.
Reporting Automation – Experience with scheduling, automating, and distributing recurring operational and client reports.
Healthcare Data Fluency – Understanding of claims, prescription, patient, or provider data (a major plus).