[Hiring] Senior Analytics Engineer @Empower Pharmacy

Role Description

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.
  • Reusable Solutions : Develop shared tools and libraries that reduce duplicated effort, improve engineering consistency, and increase team productivity across analytics projects.
  • Stakeholder Alignment : Partner with business stakeholders to clarify requirements, communicate insights through effective data storytelling, and adapt solutions to evolving priorities.

Qualifications

• Proficiency in Python, SQL, and data modeling methods, including Kimball and Data Vault 2.1, for scalable, maintainable analytics solutions.
• Technical proficiency with Apache Hop, dbt, Snowflake, AWS, and Azure to build reliable data pipelines and improve infrastructure efficiency.
• Ability to use Power BI, DAX, and data storytelling to communicate actionable insights and explain technical findings to varied stakeholders.
• Skill in Git, conceptual modeling with LucidChart, structured problem-solving, and technical mentoring to support maintainable solutions, knowledge sharing, and team productivity.

Requirements

• At least 5 years of experience in analytics engineering, data engineering, or a related role delivering practical business solutions required.
• A bachelor’s degree in computer science, engineering, or a related field, or an equivalent combination of education and practical experience required.
• Knowledge of the pharmacy business and Certified Data Vault 2.0 Practitioner certification for translating business requirements into structured data models required.
• Certified DBT Developer and Microsoft Power BI Data Analyst (PL-300) certifications, demonstrating analytics development and reporting expertise highly preferred.
• Snowflake experience or SnowPro certification, along with AWS Data Engineering or AWS Data Analytics certification supporting cloud analytics delivery preferred.

Benefits

• Comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage.
• Paid time off.
• 401(k) matching.
• Wellness perks.
• IV therapy and compounded medications.

Physical Requirements

While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.