The Operational Analytics Manager will be the point-person for operational analytics at LifeMD, supporting our care center, clinical teams, LifeMD pharmacy, and our pharmacy partners by developing actionable insights and strategies to enhance performance and streamline processes. This role will partner with cross-functional teams to identify operational gaps, ensure data-driven decision-making, and improve outcomes for patients and the business. Key Responsibilities: Operational Insights and Process-Auditing ● Develop and maintain performance metrics and quality assurance reporting for the care center, including patient engagement and resolution tracking. ● Partner with clinical teams to optimize scheduling, staffing models, and resource allocation. ● Identify opportunities to streamline workflows across the business, including clinical and care center operations. ● Proactively monitor operational performance, flag opportunities, and develop new dashboards and reporting resources to drive improvement. ● Serve as the primary point of contact for operational analytics across the organization and work closely with leadership and other analytics directors to align priorities and initiatives. Pharmacy and fulfillment ● Collaborate with internal teams and pharmacy partners to monitor and improve medication fulfillment processes. ● Provide insights into patient benefits, insurance outcomes, and coverage trends to inform business strategies. ● Develop reporting and analytics to track performance against SLAs and enhance patient satisfaction with pharmacy services. Data Ingestion and Manipulation● As needed, write code and design ingestion strategies to fetch data from source systems and prepare it for analysis. ● Design, build, and document data pipelines to lay the groundwork for consistent reporting and enable ad-hoc analyses.MA/MS in Data Science, Mathematics, Statistics or related field.24 months experience as operational analytics manager, data analyst or data scientist in a healthcare field.SKILLS: 2 years of experience in the following skills required:- Experience in roles combining operations, analytics, and process improvement.-Experience designing dashboards and reports using visualization tools (e.g., Looker, Tableau, Power BI).-Experience in SQL and either Python or R.-Experience with performance measurement, quality assurance, and operational gap analysis.-Excellent communication skills, with the ability to present complex data insights to technical and non-technical audiences.2 day/wk TLW within BLS area permitted
Minimum Salary: 140000
Maximum Salary: 140000
Salary Unit: Yearly