Analytics Engineer - Remote

Prime Therapeutics•Home, WV

1d•$81,000 - $138,000•Remote

About The Position

At Prime Therapeutics (Prime), we are a different kind of PBM, with a purpose beyond profits and a unique ability to connect care for those we serve. Looking for a purpose-driven career? Come build the future of pharmacy with us. Job Posting Title Analytics Engineer - Remote Job Description The Analytics Engineer is an integral member of the data analytics organization and is responsible for optimizing 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 visualizations tools.

Requirements

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 or GED is required
2 years of experience in data analytics engineering and experience in business intelligence, data warehousing, or analytics
Must be eligible to work in the United States without need for work or visa residency sponsorship
Demonstrated ability to develop and maintain cloud technologies
Understanding of relational and dimensional modeling to facilitate data wrangling, code operationalization and exploration of data
Ability to review and translate data models
Proficient in SQL, PL/SQL, and ELT implementations and experience with RDBMS/NoSQL databases

Nice To Haves

Understanding of Pharmacy Benefit Management / Healthcare eco system
Programming experience with 4th generation and 3rd generation computer languages such as Python and R
Experience with multiple relational database platforms such as Teradata
Experience building and maintaining data and analytics systems / products using common BI tools and Cloud products
Experience programming in a mainstream programming language such as python, and basic familiarly with UNIX

Responsibilities

Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality
Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements
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
Work to understand and collaborate with the following team members to ensure a seamless transition between databases and user facing applications
Other duties as assigned

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