Sr. Principal Analyst - Data Engineering

Lilly

Indianapolis, Indiana, United States
$105,000 - $154,000; bonus/equity: compyny bonus; ...
Data modeling tools (er*studio, erwin, toad)
Multiple database technologies and solutions
Agile development, ci/cd, jenkins, github
The Principal Analyst will be responsible for defining the vision, strategy, and principles to manage all data most effectively across the site and setting up the necessary processes for its continued expansion, maintenance, and support

Job Summary

  • The Principal Analyst will be responsible for defining the vision, strategy, and principles to manage all data most effectively across the site and setting up the necessary processes for its continued expansion, maintenance, and support.
  • This role needs to work with local and global stakeholders to ensure delivery of the solutions prioritized by the site.
  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

Matching Summary

The Principal Analyst will be responsible for defining the vision, strategy, and principles to manage all data most effectively across the site and setting up the necessary processes for its continued expansion, maintenance, and support.

Salary

$105,000 - $154,000; Bonus/Equity: Company bonus; Benefits: Comprehensive benefit program including 401(k), pension, vacation, medical, dental, vision, life insurance, well-being benefits

Skills & Requirements

Must-have

  • Data modeling tools (ER*Studio, Erwin, TOAD)
  • Multiple database technologies and solutions
  • Agile Development, CI/CD, Jenkins, Github
  • Data ingestion patterns
  • Data Governance, Master Data Management, BI

Nice-to-have

  • Statistical methods, ontology development
  • Artificial intelligence and machine learning
  • Previous health care experience
  • Employee resource groups support networks

Key Requirements

  • Bachelor’s degree in engineering, computer science or related scientific discipline
  • 10 plus years of experience designing large scale data models
  • Demonstrated SQL and data modeling proficiency
  • Experience in AWS
  • Experience with security models and development on large data sets
  • Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)
  • Experience in moving on premises solutions into cloud
  • CDMP Certification
  • AWS Solution Architect

Work Rights

Mobility within and outside Puerto Rico and the United States

Tailored Resume

Cover Letter