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 Senior Analytics Engineer builds reliable data solutions that improve decision-making, operational efficiency, and business performance across Empower. Operating in a hyper-growth, highly regulated 503A/503B environment, this individual contributor owns analytics delivery from problem definition through deployment and monitoring. The role translates ambiguous business needs into scalable, maintainable, cost-effective data models, pipelines, and reporting solutions while strengthening data quality and infrastructure reliability. Success requires strategic thinking, disciplined execution, sound technical judgment, and learning agility to balance immediate priorities with sustainable engineering practices. The engineer identifies valuable analytics opportunities, communicates findings clearly, and partners with stakeholders to align solutions with business objectives. Through mentoring, knowledge sharing, and reusable tools, this role increases team productivity and supports Empower’s mission of expanding access to high-quality medications with dependable, actionable insights that guide decisions.

RESPONSIBILITIES

Analytics Delivery and Business Impact

• Project Delivery: Lead analytics projects from problem definition through deployment and monitoring, delivering solutions aligned with business objectives and stakeholder needs.

• Opportunity Assessment: Propose analytics initiatives with data-driven business cases that clarify expected value, operational benefits, and priorities for stakeholder evaluation.

• Solution Design: Design scalable, maintainable, cost-effective data models, pipelines, and reporting solutions that resolve ambiguous business problems through structured technical analysis.

Data Quality and Operational Reliability

• Data Quality: Identify and resolve data issues, validate analytical outputs, and monitor deployed solutions to maintain reliable insights for business users.

• Infrastructure Improvement: Improve data infrastructure and engineering workflows to reduce recurring issues, increase processing efficiency, and sustain reliable analytics delivery.

• Engineering Discipline: Maintain version-controlled code and solution documentation to support consistent maintenance, accountable changes, and reliable analytics in regulated operations.

Technical Leadership and Collaboration

• Technical Mentorship: Mentor junior team members through technical guidance and knowledge sharing, strengthening problem-solving capability and consistent analytics engineering practices.