Sr. Analyst (p2-p3)

Eli Lilly

Indianapolis, IN, US
Base: $114,109.00 py; bonus/equity: compyny bonus;...
Data pipelines from apis
Develop stored procedures using pl/sql
Data discovery and cleaning using sql
Serve as the Data Integration and Analytics (DIA) point of contact with assigned manufacturing sites or global functions for opportunity identification, project portfolio development, solution delivery, service management, and relationship management

Job Summary

  • Serve as the Data Integration and Analytics (DIA) point of contact with assigned manufacturing sites or global functions for opportunity identification, project portfolio development, solution delivery, service management, and relationship management.
  • Develop and implement techniques and analytics to transform data into meaningful information, translate business needs into data and analytics projects, and help the business define a future state of the analytics and data usage landscape.
  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance), and Lilly offers a comprehensive benefit program.

Matching Summary

Serve as the Data Integration and Analytics (DIA) point of contact with assigned manufacturing sites or global functions for opportunity identification, project portfolio development, solution delivery, service management, and relationship management.

Salary

Base: $114,109.00 per year; Bonus/Equity: Company bonus; Benefits: Comprehensive benefit program

Skills & Requirements

Must-have

  • Data pipelines from APIs
  • Develop stored procedures using PL/SQL
  • Data discovery and cleaning using SQL
  • Identify and implement automation solutions
  • Manage release activities

Nice-to-have

  • Transform data into meaningful information
  • Translate business needs into analytics projects
  • Define future state of analytics landscape
  • Recommend data-driven solutions
  • Build strong stakeholder relationships

Key Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related STEM field
  • 5 years of progressively responsible experience
  • 5 years of experience creating data pipelines
  • 5 years of experience developing stored procedures
  • 5 years of experience performing survey data analysis
  • 5 years of experience performing data discovery and cleaning
  • 5 years of experience identifying automation solutions
  • 5 years of experience managing release activities

Work Rights

Not specified

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