Analytics Engineer

$85,600 - $128,400/Yr

Prime Therapeutics - Springfield, IL

posted about 2 months ago

Full-time - Entry Level
Springfield, IL
Administrative and Support Services

About the position

The Analytics Engineer is a crucial member of the data analytics organization at Prime Therapeutics, responsible for optimizing and monitoring the retrieval, storage, and distribution of large data sets. This role is essential in enabling data-driven business processes and delivering actionable business insights through various tools such as dashboards, reports, and self-service visualizations. The Analytics Engineer will work closely with business stakeholders to identify needs and opportunities for improved delivery and automation of business processes, ensuring that the underlying data resources are effectively utilized to support decision-making. In this position, the Analytics Engineer will develop, construct, test, and maintain data architecture, including extract, load, transform (ELT) processes, logical and physical data models, data marts, and metadata repositories. The role requires a strong understanding of relational and dimensional modeling to facilitate data wrangling and code operationalization. The Analytics Engineer will also be responsible for optimizing data retrieval processes and identifying ways to improve data reliability, efficiency, and quality. Collaboration with team members is key to ensuring a seamless transition between databases and user-facing applications, and the role may involve other duties as assigned. The ideal candidate will have a background in computer science, applied mathematics, or engineering, along with experience in data analytics engineering, business intelligence, and data warehousing. A strong proficiency in SQL, PL/SQL, and ELT implementations is essential, as well as familiarity with RDBMS and NoSQL databases. The position offers an opportunity to work in a fast-paced and dynamic environment, contributing to the healthcare industry by helping people access the medicine they need to feel better and live well.

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
  • Works to understand and collaborate with team members to ensure a seamless transition between databases and user facing applications
  • Performs other duties as assigned

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 ecosystem
  • 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 familiarity with UNIX

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • 401k matching
  • Paid holidays
  • Paid volunteer time
  • Flexible scheduling
  • Professional development
  • Tuition reimbursement
  • Employee discount programs
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