Customer Experience Data Analyst

Empower Pharmacy

Customer Experience Data Analyst at Empower Pharmacy focusing on customer onboarding insights and operational efficiency. Managing data and improving customer satisfaction through collaboration and AI-driven insights.

Posted 7/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, customer onboarding, and operational efficiency within a highly regulated pharmacy environment. Proficient in leveraging AI and statistical tools to enhance decision-making, improve service quality, and drive business performance.

Highest-signal resume keywords

Strong SQL SkillsExperience with Python or RData Storytelling SkillsA/B Testing Design and InterpretationExperience in 503A/503B Pharmacy Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisComplex Query WritingStatistical AnalysisPredictive ModelingDocumentation StandardsProcess ImprovementCustomer OnboardingData ExplorationIssue ResolutionAnalytical Role Experience

Soft Skills

Attention to DetailOrganizational SkillsCommunication AbilitiesAbility to Work with AmbiguityStakeholder Education

Tools & Technologies

CRM SystemsMicrosoft Office ApplicationsDigital Collaboration ToolsAI-Enabled TechnologiesStatistical Tools

Certifications & Qualifications

Associate's or Bachelor's Degree in BusinessMathematicsHealthcare AdministrationData Analytics

Industry Keywords

Customer ExperienceOperational EfficiencyComplianceHyper-Growth EnvironmentData Accuracy

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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