Customer Experience Data Analyst

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Logo of Empower Pharmacy

Empower Pharmacy

1001 - 5000 employees

Founded 2009

💊 Pharmaceuticals

🏥 Healthcare

🏭 Manufacturing

💰 Debt financing on 2023-10

Pharmaceuticals • Healthcare • Manufacturing

Empower Pharmacy is a U. S. -based compounding pharmacy and pharmaceutical manufacturer focused on producing individualized (compounded) medications at scale. Founded to expand access to affordable, high-quality personalized therapies, Empower operates both 503A and FDA-registered 503B outsourcing facilities, including large sterile manufacturing sites built to current Good Manufacturing Practices and leveraging automation for scalability. The company touts nationwide licensure, high-volume dispensing (reports filling thousands of custom-compounded prescriptions daily), and a mission centered on quality, safety, service, and innovation in pharmaceutical care.

📋 Description

• Ensure exceptional customer readiness by owning insights and reporting related to onboarding, inquiry resolution, and process clarification designed to improve operational efficiency, customer satisfaction, and business performance. • Manage customer interaction data, documentation accuracy, issue resolution, and cross-functional coordination while driving consistent service delivery. • Leverage AI as a force multiplier to enhance response speed, decision quality, workflow efficiency, knowledge accessibility, and continuous improvement through intelligent automation and actionable insights. • Balance compliance, quality, and customer experience while supporting scalable operations in a hyper-growth, highly regulated 503A/503B pharmacy environment. • Measure end-to-end customer onboarding activities, validate required information, identify process efficiencies, educate stakeholders, and ensure seamless transitions into operational workflows. • Partner with business stakeholders to scope analytical questions and translate them into structured analyses, applying AI for improved accuracy and decision-making. • Design and analyze experiments, including A/B tests and cohort studies, to measure the impact of product or business changes. • Build predictive or diagnostic models, identifying business opportunities and risks through data exploration and analysis. • Collaborate with data engineering teams to ensure data availability, accuracy, and reliability for analysis. • Continuously evaluate onboarding workflows, documentation standards, and customer interactions for improvement opportunities. Utilize AI for efficiency and quality assurance.

🎯 Requirements

• Associate's or bachelor's degree in Business, Mathematics, Healthcare Administration, Data Analytics, or a related discipline preferred. • Three or more years of experience in a data analyst, business analyst, or similar analytical role. • Strong SQL skills, including experience writing complex queries against large datasets. • Experience using statistical or analytical tools, such as Python or R, for advanced analysis. • Demonstrated ability to design and interpret experiments, including A/B testing and basic causal inference. • Strong data storytelling skills, with the ability to distill complex analyses into clear findings and recommendations. • Comfort working with ambiguity and independently scoping work from loosely defined business questions. • Experience presenting findings directly to nontechnical stakeholders and senior leadership. • Demonstrated proficiency using CRM systems, Microsoft Office applications, and digital collaboration tools to support customer service excellence. • Experience utilizing AI-enabled productivity, documentation, analytical, or customer support technologies to improve service quality and operational efficiency preferred. • Strong attention to detail, organizational skills, communication abilities, and commitment to delivering exceptional customer experiences while maintaining operational accuracy and compliance.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • 401(k) matching • wellness perks • IV therapy • compounded medications

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