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
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

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, to include 3 years 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
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 eco system

Senior Analytics Engineer

Key skills