Senior Analytics Engineer

Empower Pharmacy

About The Position

The Senior Analytics Engineer builds reliable data solutions that improve decision-making, operational efficiency, and business performance across Empower. 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.

Requirements

Proficiency in Python, SQL, and data modeling methods, including Kimball and Data Vault 2.1.
Technical proficiency with Apache Hop, dbt, Snowflake, AWS, and Azure.
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.
At least 5 years of experience in analytics engineering, data engineering, or a related role delivering practical business solutions.
A bachelor’s degree in computer science, engineering, or a related field, or an equivalent combination of education and practical experience.
Knowledge of the pharmacy business and Certified Data Vault 2.0 Practitioner certification.

Nice To Haves

Certified DBT Developer certification.
Microsoft Power BI Data Analyst (PL-300) certification.
Snowflake experience or SnowPro certification.
AWS Data Engineering or AWS Data Analytics certification.

Responsibilities

Lead analytics projects from problem definition through deployment and monitoring, delivering solutions aligned with business objectives and stakeholder needs.
Propose analytics initiatives with data-driven business cases that clarify expected value, operational benefits, and priorities for stakeholder evaluation.
Design scalable, maintainable, cost-effective data models, pipelines, and reporting solutions to resolve ambiguous business problems through structured technical analysis.
Identify and resolve data issues, validate analytical outputs, and monitor deployed solutions to maintain reliable insights for business users.
Improve data infrastructure and engineering workflows to reduce recurring issues, increase processing efficiency, and sustain reliable analytics delivery.
Maintain version-controlled code and solution documentation to support consistent maintenance, accountable changes, and reliable analytics in regulated operations.
Mentor junior team members through technical guidance and knowledge sharing, strengthening problem-solving capability and consistent analytics engineering practices.
Develop shared tools and libraries that reduce duplicated effort, improve engineering consistency, and increase team productivity across analytics projects.
Partner with business stakeholders to clarify requirements, communicate insights through effective data storytelling, and adapt solutions to evolving priorities.