Customer Experience Data Analyst

Empower Pharmacy

3d•Onsite

About The Position

Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we’ve created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that’s transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let’s transform healthcare together. POSITION SUMMARY The Customer Experience Data Analyst ensures customer readiness by owning insights and reporting related to onboarding, inquiry resolution, and process clarification to improve operational efficiency, customer satisfaction, and business performance. This role manages customer interaction data, documentation accuracy, issue resolution, and cross-functional coordination while supporting consistent service delivery. Leveraging AI as a force multiplier, the position improves response speed, decision quality, workflow efficiency, knowledge accessibility, and continuous improvement through intelligent automation and actionable insights. Operating within Empower's hyper-growth, highly regulated 503A/503B pharmacy environment, the role balances compliance, quality, and customer experience while supporting scalable operations. Success requires strategic thinking, disciplined execution, exceptional learning agility, collaborative problem-solving, and accountability for delivering strong service outcomes across evolving business priorities.

Requirements

Demonstrated knowledge of customer onboarding, customer service operations, issue resolution, process documentation, cross-functional collaboration, and continuous improvement within fast-paced, customer-focused environments.
Strong SQL skills with the ability to write complex queries, combine multiple data sources, validate results, and analyze large datasets.
Experience using statistical and analytical tools such as Python or R to conduct advanced analysis, build models, and automate repeatable workflows.
Knowledge of experimental design, A/B testing, cohort analysis, predictive modeling, segmentation, and foundational causal inference concepts.
Proficiency with CRM platforms, knowledge management systems, workflow applications, reporting dashboards, Microsoft Office applications, AI-enabled productivity tools, and digital collaboration technologies.
Strong analytical storytelling skills with the ability to translate complex findings into a clear point of view, actionable recommendations, and measurable business outcomes.
Strong communication, organizational, and problem-solving skills with the ability to prioritize competing responsibilities, manage ambiguity, and influence positive outcomes across diverse stakeholders.
Ability to leverage AI responsibly for knowledge retrieval, workflow automation, documentation, customer communications, performance analysis, predictive insights, and decision support while maintaining compliance, accuracy, privacy, and human accountability.
Demonstrated experience writing complex SQL queries and analyzing large datasets.
Experience using Python, R, or a comparable statistical or analytical tool for advanced analysis.
Demonstrated ability to design, analyze, and interpret experiments, including A/B testing and cohort studies.
Demonstrated ability to independently scope analytical work from loosely defined business questions and operate effectively in ambiguous environments.
Experience presenting findings and recommendations directly to non-technical stakeholders and leadership.
Demonstrated proficiency with CRM systems, Microsoft Office applications, reporting tools, and digital collaboration platforms.
Strong attention to detail, organizational skills, communication abilities, and commitment to delivering exceptional customer experiences while maintaining operational accuracy and regulatory compliance.

Nice To Haves

Associate's or Bachelor's degree in Business, Mathematics, Statistics, Data Analytics, Healthcare Administration, or a related discipline preferred.
Experience developing predictive or diagnostic analyses, such as churn analysis, segmentation, or customer lifetime value modeling, preferred.
Experience using AI-enabled productivity, documentation, analytics, or customer support technologies to improve service quality and operational efficiency preferred.

Responsibilities

Onboarding Management: Measure end-to-end customer onboarding activities, validate required information, identify process efficiencies, educate stakeholders, and support seamless transitions into operational workflows. Utilize AI-powered knowledge tools, workflow automation, and intelligent recommendations to accelerate onboarding timelines, improve documentation quality, enhance decision-making, and deliver consistent customer experiences while maintaining compliance with organizational standards.
Analytical Scoping: Partner with business stakeholders to define open-ended analytical questions and translate them into structured analyses. Apply AI-assisted validation, document review, and exception detection capabilities to improve accuracy, reduce processing delays, support informed decision-making, and maintain high-quality onboarding outcomes within a regulated operational environment.
Experimentation: Design and analyze experiments, including A/B tests and cohort studies, to measure the impact of product, process, or business changes. Clearly communicate findings, limitations, and recommendations to technical and non-technical stakeholders.
Predictive Analysis: Build predictive and diagnostic models, such as churn-driver analyses and customer lifetime value segmentation, to identify trends, explain performance, and support data-informed business decisions.
Opportunity Identification: Proactively explore data to identify business opportunities, operational risks, customer experience trends, and areas requiring further investigation or intervention.
Data Partnership: Collaborate with Data Engineering and other technical partners to ensure the data required for analysis is available, accurate, reliable, and appropriately structured.
Process Improvement: Continuously evaluate onboarding workflows, clarification processes, documentation standards, and customer interactions to identify opportunities that improve efficiency and service quality. Utilize AI-powered analytics, trend identification, and process automation recommendations to streamline operations, eliminate repetitive work, improve decision-making, and strengthen scalable customer support capabilities.
Quality Assurance: Maintain high-quality standards by reviewing documentation accuracy, adherence to procedures, customer communications, and regulatory requirements while identifying opportunities to improve operational consistency. Leverage AI-enabled quality monitoring, content validation, and performance insights to strengthen compliance, reduce errors, and improve service delivery throughout customer onboarding and clarification activities.
Performance Insights: Track onboarding performance, clarification trends, customer feedback, and operational metrics to identify patterns that support business decisions and continuous improvement initiatives. Utilize AI-driven dashboards, predictive analytics, and reporting capabilities to generate actionable insights, improve resource prioritization, enhance customer experiences, and support scalable service delivery.
Stakeholder Communication: Translate complex analyses into clear findings, recommendations, and business implications for non-technical stakeholders and leadership. Develop concise presentations, dashboards, and written summaries that support timely decision-making.
Documentation and Governance: Maintain accurate analytical documentation, metric definitions, assumptions, methodologies, and reporting standards. Ensure analyses are reproducible, appropriately validated, and aligned with data governance, privacy, security, and regulatory expectations.