Become a part of our caring community and help us put health first The Data and Reporting Lead generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts. The Data and Reporting Lead works on problems of diverse scope and complexity ranging from moderate to substantial. The Senior Lead of WFM Reporting is responsible for the data architecture and metric reporting for CenterWell's call center and back office operations. You will lead a team of analysts while simultaneously perform advanced operational analysis. This role requires a unique hybrid skillset: the technical ability to unify disparate data sources (Telephony, WFM, Pharmacy Management Systems), automate reports, and leadership capability to guide senior stakeholders through complex operational challenges. You will support the reporting ecosystem for both Call Center and Back Office queues ensuring that data drives operational decision we make to support our patients. Strategic Leadership & Stakeholder Management Team Leadership: Manage, mentor, and develop a team of WFM Reporting Analysts. Set coding standards, conduct code reviews (SQL), and foster a culture of accuracy and automation. Executive Narrative & Storytelling: Serve as the lead for WFM and operations for operational performance. You must translate data into clear, actionable business narratives (e.g., explaining how inventory aging correlates to staffing shortages). Governance: define the "Source of Truth" for all operational metrics (AHT, Occupancy, Shrinkage, TAT). Manage the intake and prioritization of all reporting requests to prevent scope creep. Technical Execution & Tactical Analytics Hands-On Development: Personally design and build complex dashboards using Power BI or Tableau. You will be the escalation point for complex technical hurdles that your team cannot solve. Call Center and Back-Office reporting: Architect the reporting logic for high-volume, multi-step pharmacy queues. This includes calculating "True Backlog," "Inventory Aging," and "Touch Time vs. Elapsed Time" to optimize prescription throughput. Data Pipeline Management: Write and optimize complex SQL queries to blend data from Verint, Genesys, Salesforce, IVR/VIA and Pharmacy Management Systems. Automate ETL processes to eliminate manual Excel reporting. Operational Optimization Root Cause Analysis: Proactively identify performance variances. If Service Level is missed, you must determine if the cause was Forecast Error, Schedule Adherence, AHT spikes, or System Downtime, and present these findings to Operations leadership. Capacity Planning Support: Provide the historical data baselines required for long-term capacity planning, specifically converting "widgets/scripts" into "required hours" for budget discussions. Use your skills to make an impact
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees