[Hiring] Senior Analytics Engineer @Prime Therapeutics

Role Description

The Senior Analytics Engineer is an integral member of the data analytics organization and is responsible for managing, optimizing, overseeing, and monitoring the retrieval, storage, and distribution of large data sets to enable data-driven business processes and deliver actionable business insights through dashboards, reports, and other self-service visualization tools. Manages complex projects, mentors junior engineers, and ensures that engineering principles are applied consistently within the team.

• Develops, constructs, tests, and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, metadata repositories, and data warehouse designs in alignment with business requirements.
• Optimizes data retrieval, develops data set processes, algorithms, and identifies ways to improve data reliability, efficiency, and quality.
• Contributes to and maintains business glossary and other resources that foster cross-functional collaboration on analytical data resources.
• Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes, and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data-driven insights and decision support.
• Provides technical guidance to the analytics function and projects, ensuring that new initiatives enable effective analytic information management; builds and tests proof of concepts to test and demonstrate business value.
• Cross-trains, supports, and works closely with team members in the following roles: Data Scientist, Systems Analyst, Report Developer.
• Other duties as assigned.

Qualifications

• Bachelor’s degree in computer science, applied mathematics, engineering, or another IT-related field; or equivalent combination of education and/or relevant work experience; High school diploma from an accredited school or equivalent GED.
• 5 years of experience in IT, including 3 years in data analytics engineering and experience in business intelligence, data warehousing, or analytics.
• Must be eligible to work in the United States without the need for work visa or residency sponsorship.

Requirements

• Demonstrated ability to architect, develop, and maintain cloud technologies.
• Understanding of relational and dimensional modeling to facilitate data wrangling, code operationalization, and exploration of data.
• Ability to develop, maintain, review, and translate data models.
• Proficient in SQL, procedures, and ELT implementations and experience with Cloud databases.
• Owns delivery of moderately complex analytics engineering solutions end-to-end, including design, development, testing, and deployment.
• Mentors and develops junior analytics engineers, providing guidance on best practices, code quality, and solution design.
• Ensures adherence to data engineering standards, testing practices, and performance optimization across work products.
• Understanding of Pharmacy Benefit Management / Healthcare ecosystem.

Preferred Qualifications

• DBT certified or equivalent work experience.
• Experience with development tools such as GitHub and Jira.
• Experience working with end users to gather requirements and build technical solutions from concept to implementation.
• Programming experience in computer languages such as Python and R.
• Experience with cloud database platforms and associated tools such as GCP (Google Cloud Platform) and Big Query.
• Experience building and maintaining data and analytics systems/products using common BI tools and Cloud products.

Benefits

• Potential pay for this position ranges from $108,000.00 - $184,000.00 based on experience and skills.
• To review our Benefits, Incentives, and Additional Compensation, visit our Benefits Page and click on the "Benefits at a glance" button for more detail.