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Customer Experience Data Analyst

Job in Houston, Harris County, Texas, 77246, USA
Listing for: DataAnalystJobs
Full Time position
Listed on 2026-08-12
Job specializations:
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

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  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.

RESPONSIBILITIES

Customer Onboarding and Analytics
  • 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…
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