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Data Modeler - BI Analytics - Onsite (Full Time)The Dignify Solutions, LLC • United States
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Data Modeler - BI Analytics - Onsite (Full Time)

The Dignify Solutions, LLC
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  • US
    United States
  • +3
  • +4
  • US
    United States
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About

Data Modeler - BI Analytics - Onsite (Full Time) Base pay range
$100,000.00/yr - $120,000.00/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/MicroStrategy/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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Nice-to-have skills

  • Data Modeling
  • Looker
  • Power BI
  • Tableau
  • United States

Work experience

  • Data Engineer
  • Data Infrastructure
  • Data Analyst

Languages

  • English
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