Pharmacist - Data Analytics
Location
United States
Posted
4 days ago
Salary
0
Seniority
Mid Level
Job Description
Pharmacist - Data Analytics
Elevance Health
Role Description Pharmacist - Data Analytics LOCATION: This is a virtual eligible role. You must be within a reasonable distance of a PulsePoint. HOURS: General business hours, Monday through Friday, local time. This role enables associates to work virtually full-time, with the exception of required in-person training sessions, providing maximum flexibility and autonomy. This approach promotes productivity, supports work-life integration, and ensures essential face-to-face onboarding and skill development. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Alternate locations may be considered if candidates reside within a commuting distance from an office. Responsible for managing the selection and utilization of pharmaceuticals and supports core clinical programs such as DUR, DIS and formulary management. Please note: This is NOT a dispensing role; it is an analytics role. You must be a licensed pharmacist in the U.S., and you must be proficient in the tools listed under "preferred qualifications". Primary duties may include, but are not limited to: - Researches and synthesizes detailed clinical data related to pharmaceuticals. - Prepares and presents therapeutic class reviews and drug monograph information to the Pharmacy and Therapeutics Committee. - May review and approve or deny coverage for pharmaceuticals based on medical necessity criteria, and coordinates with internal stakeholders or health plan medical directors as needed. - Serves as a clinical resource to other pharmacists on areas such as prospective, inpatient and retrospective DURs and provides dosage conversion and clinical support for therapeutic interventions. - Prepares information for network physicians. Qualifications - Requires BA/BS in Pharmacy. - Minimum of 2 years of managed care pharmacy (PBM) experience or residency in lieu of work experience; or any combination of education and experience, which would provide an equivalent background. - Requires a registered pharmacist. - Current unrestricted Pharmacist license from the state in which you reside is required. Requirements - Experience working with Tableau or Power BI is absolutely essential for this role! - Experience working with tools like SQL, Python and R is very strongly preferred. - You must have data analytics experience for this position. - PharmD preferred. - Experience working with Medicare and STARS data strongly preferred. - Associates in this role are expected to have strong oral, written and interpersonal communication skills, problem-solving skills, facilitation skills, and analytical skills. Benefits - Merit increases. - Paid holidays. - Paid Time Off. - Incentive bonus programs (unless covered by a collective bargaining agreement). - Medical, dental, vision benefits. - Short and long term disability benefits. - 401(k) + match. - Stock purchase plan. - Life insurance. - Wellness programs. - Financial education resources.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Senior Analyst – Data Profiling Specialist
GuidehouseGuidehouse, a "next-generation consultancy" and a portfolio company of Veritas Capital, provides management, risk consulting, and technology services to help cl
• Evaluate and analyze data from legacy systems and disparate sources to assess quality, completeness, and consistency • Develop and apply practical approaches to profile complex datasets, including structured and semi-structured data • Identify data gaps, anomalies, and structural issues that may impact reporting, analytics, or system migration • Recommend data quality improvements and remediation actions that are aligned to both current-state use and future-state system needs • Support data readiness efforts for modernization and system replacement, including migration considerations • Collaborate with stakeholders to validate findings and align on data priorities and remediation strategies • Document data issues, patterns, and recommendations in a clear, actionable format • Partner with program and technical teams to improve data usability for reporting and analytics
Senior Product Manager, Data and Analytics
Heartbeat HealthWe're on a mission to deliver the most effective, efficient, and engaging heart care in the world.
• Champion Iterative Value: Work closely with data engineers and stakeholders to prioritize, scope, and deliver impactful data and analytics deliverables using agile, outcome-oriented methods. • Lead Discovery: Regularly engage with a diverse group of stakeholders (internal and external) to surface, clarify, and prioritize their data needs. • Craft Requirements: Translate business questions and stakeholder needs into clear, actionable requirements and well-defined deliverables (analytics, metrics, dashboards, pipelines). • Drive Execution: Collaborate with data and engineering teams to develop, launch, and refine analytics deliverables in short, learn-and-adapt cycles. • Deliver Results: Manage competing priorities, set expectations, communicate status, and iterate quickly based on feedback and evolving needs. • Measure Impact: Devise, research, and define the metrics and formulae that help Heartbeat and its partners measure success - clinical, operational, financial, and beyond. • Hands-On Contribution: Roll up your sleeves with SQL to shape dashboards, debug data pipelines, and ensure analytic quality. • Monitor & Respond: Help monitor critical data pipelines, respond quickly to disruptions, and ensure data quality, reliability, and trust.
Marketing Analytics Analyst
GoFasti✓LatAm's Top Talent ✓Hire Faster ✓Stay Compliant ✓English Proficient ✓US Timezone
• Analyze performance data across various marketing channels, including Paid Media, CRM, Email Marketing, and Customer Engagement Programs. • Prepare recurring reporting packages and consolidate data into actionable summaries. • Support the development of client recommendations and optimization strategies. • Perform quality assurance checks across reports and datasets. • Collaborate with Strategy, Client Services, Media, and Analytics teams to deliver insights. • Use AI tools responsibly to improve efficiency and reporting processes.
• Gather client metrics across the SIS business to be used in evaluating our impact and business strategy. • Identify, clean, merge, and filter datasets from multiple sources to generate high-quality cross-functional datasets. • Develop strategic data visualizations. • Create, deliver, and manage a client survey system to calculate key metrics to improve the delivery of solutions. • Develop scalable data systems using advanced tools such as coding programs and AI. • Support software development and maintenance. • Support data management and analysis in CRM platforms. • Translate analytic insights into clear business actions to ensure SIS makes well-informed decisions based on empirical evidence.




