Advisor, Data Engineer

What Data Analytics Engineering contributes to Cardinal Health:


Data Analytics Engineer is responsible for understanding, preparing, processing and analyzing data to make data valuable and useful for operations decision support.

Accountabilities in this role

  • Partners with Cardinal Health's Business Analysis and Analytics teams.
  • Demonstrates problem-solving ability that allows for effective and timely resolution of system issues, including but not limited to production outages.
  • Focuses on SQL database work with a blend of strong technical and communication skills
  • Demonstrates ability to learn and navigate in large complex environments.  
  • Excel acumen to develop complex spreadsheets formulas creates macros and understands VBA code within the modules
  • Develops and supports
    • Standard processes to harvest data form various sources and perform data blending to develop advanced data sets and analytical cubes and data exploration.
    • Queries, data exploration and transformation, basic statistical methods and visualization techniques to create business insights or improve data quality.
    • MS Access databases/SQL to SQL Server or Alteryx conversion workflows.

Qualifications

  • Degree in Computer Science
  • Experience preferred on the following tools and technology:
    • Redshift
    • S3
    • Alteryx
    • MS SQL
    • Python
    • SharePoint
  • Advanced Excel Skill (formulas, VBA, Power Pivot, Vlookup, Pivot Table, PowerBI) 
  • Knowledge of Tableau and GCP

Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.