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Data Modeler - BI Analytics - Onsite

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: The Dignify Solutions, LLC
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Position: Data Modeler - BI Analytics - Onsite (Full Time)

Data Modeler - BI Analytics - Onsite (Full Time)

Base pay range

$/yr - $/yr

This range is provided by The Dignify Solutions, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Overview

Data Modeler - BI Analytics - Onsite (Full Time).

Qualifications
  • 5+ Years of Data Modeling Experience
  • Proven track record of delivering complex Logical and Physical Data Models with expertise in delivering Physical Data Models.
  • Extensive experience with at least one BI Reporting tool like Tableau/Looker/Cognos/Micro Strategy/Power BI etc.
  • Expertise in Ralph Kimball Style of Modeling:
    Dimensional, Multidimensional, Star, Galaxy and Snowflake Schema.
  • Extensive experience with either ER Studio or Erwin Data Modeling tool.
  • Extensive experience in versioning, maintaining Data Modeling Artifacts like files, repositories, Definitions, Mappings, Data Dictionary etc.
  • Extensive experience with Business Requirements Analysis and Data Analysis using SQL scripts, Excel techniques.
  • Must be passionate about being up to date with current industry trends and experimenting/learning new technologies.
  • Demonstrate deep knowledge of different Data Warehousing Methodologies, techniques and best practices.
  • Deep knowledge of at least one relational database:
    Oracle/SQL Server/Teradata. Performance tuning, Partitioning, Indexing of Physical Database Objects.
  • Excellent verbal and written communication skills to work with:
    Team Leads, Project Managers, ETL Team, Business Analysts, Data Analysts, DBAs etc. Self-Starter with a research problem solving mindset.
  • Experience with cloud technologies like Snowflake, Azure, AWS, GCP etc.
  • Experience with Data Vault Modeling. A Bachelor’s Degree in Computer Science, Engineering, Math, or other related STEM discipline
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Other
Industries
  • IT Services and IT Consulting
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