Job Description

Senior Analytics Engineer

Overview

As a Senior Analytics Engineer, you will play a key role in developing innovative data solutions that drive business insights, improve efficiency, and deliver tangible value across the organization.

This position involves leading analytics projects from concept to completion, enhancing data infrastructure, and mentoring team members to foster continuous growth.

Your expertise will help shape data strategies that align with Empowers mission of advancing healthcare through accessible, high-quality medications.

**** Responsibilities ****

Proficient in the following technologies:

• Python
• SQL & NoSQL
• Data modeling (Kimball, Data Vault 2.1)
• ELT/ETL tools (Apache Hop, Data Build Tool [dbt])
• Cloud platforms (Snowflake, Amazon Web Services [AWS], Azure).
• data storytelling,
• Data visualization skills (Power Business Intelligence (BI), Data Analysis Expressions),
• Git experience
• Conceptual modeling (Lucid Chart)
• Knowledge of the pharmacy business

Key Competencies

• Customer Focus: Ability to build strong customer relationships and deliver customer centric solutions.
• Optimizes Work Processes: Know the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives.
• Resourcefulness: Secures and deploys resources effectively and efficiently.
• Manages Complexity: Makes sense of complex, high quality, and sometimes contradictory information to effectively solve problems.
• Ensures Accountability: Holds self and others accountable to meet commitments and objectives.
• Situational Adaptability: Adapts approach and demeanor in real time to match shifting demands of different situations.
• Communicates Effectively: Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Values

• People: Our people define who we are as a company, and we believe that understanding and addressing the needs of our team, clients, and community is fundamental to fostering a culture of support and growth.
• Quality: Quality stands at the core of our mission, reflecting our commitment to excellence in every medication we produce.
• Service: We are here to serve others. Every interaction with our patients, providers, employees and other stakeholders comes from a place of service.
• Innovation: By continuously exploring new methodologies and embracing technology, we ensure that every solution we offer is at the forefront of pharmaceutical care.

**** Qualifications ****

• At least 5 years of experience in analytics engineering, data engineering, or a related role.

**** Education ****

• Bachelor's or equivalent education
• Master's degree in Computer Science, Engineering, or equivalent experience

Preferred Certifications

• Certified DBT Developer
• MS Power BI Data Analyst PL-300 Certification
• Snowflake experience
• SnowPro Certifications
• Data Vault 2 Data Modeling Certified
• Data Vault 2.0 Practitioner Certification
• AWS Data Engineering Certification preferred.
• AWS Data Analytics Certification preferred.

Candidates must meet the required years of experience at scale with one or more of the listed technologies.

USC or GC candidates only.

Not an OJT opportunity.

No sponsorships.

No agencies.

No Corp-to-Corp.

No contracts.

No 1099.

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