Data Engineer Business Analytics in Hoffman Estates, IL at Sears Holdings Corporation

Date Posted: 6/25/2019

Job Snapshot

  • Employee Type:
  • Location:
    3333 Beverly Road
    Hoffman Estates, IL
  • Date Posted:
  • Job ID:

Job Description

Req/Job ID: 978658BR
Employing Entity: Transform SR LLC
Employment Category: Regular, Full-time
Job Function: Analytics
Store ID: 58491: Sears Holdings Management Corp

The role will be a hybrid between a data architect responsible for retrieving, storing, and organizing data from a variety of sources, and an analytics architect that will build clear visualizations that can drive business insights.

The ideal candidate should be brilliant problem solver and clear communicator with a strong desire to learn and expand their abilities and exposure to both systems, business, and people.

Job Requirements

  • Partner with clients to understand business needs and drive the development & delivery
  • Architect and own ETL processes for retrieving data and consolidating data systems.
  • Develop clear visualizations in Excel and tableau that translate data to business users.
  • Build cloud-based (Google BigQuery) datastores that are efficient for use and have clear structure and documentation.
  • Build automation scripts to interface with 3rd party APIs.
  • Explore new datasets and identify how best to integrate for business benefit.
  • Develop visualization and analytics as required, and desired
  • BS/MS degree in Computer Science, Engineering, Statistics, Mathematics, Physics, Operations Research, Econometrics or equivalent/related degree.
  • End to end Data warehouse and Business intelligence application design, architect and development experience .
  • 5+ yrs. total experience with at least 2+ year experience architecting and building BI applications extensively.
  • 3+ Years of experience in any one of the BI tools like Tableau, Looker, Microstrategy, etc.
  • 3+ Years of experience with scripting and automation using python, java, shell, etc.
  • Strong communication and interpersonal skills.
  • Ability to prioritize and execute multiple tasks in a highly dynamic environment with result oriented mindset.
  • Detail oriented with proven analytical, problem identification and resolution skills.
  • Ability to work effectively in an unstructured and fast-paced environment, and have a high degree of self-management with clear communication and commitment to delivery timelines.
  • Proven interpersonal, communication and presentation skills – must be able to explain technical concepts and analysis implications clearly to a wide audience.
  • Above average capabilities with common analytics tools and Microsoft Office suite.