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Data Analyst

Job in Sioux Falls, Minnehaha County, South Dakota, 57102, USA
Listing for: Insight Global
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing
Job Description & How to Apply Below

Job Description

Our client is looking for a Data Analyst to join their team for a 6 month engagement with possible extensions.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements
  • 5+ years of experience as a Data Analyst or similar role
  • Strong hands on experience with SQL for querying, transforming, and validating data
Data Platforms
  • Experience pulling data from SQL-based systems into Snowflake

Working knowledge of Snowflake for:

  • Running queries
  • Loading data
  • Supporting historical data analysis
Data Analytics & Business Support
  • Support business needs for historical data and reporting
  • Translate business questions into SQL queries and analytical outputs
  • Analyze datasets to identify trends, anomalies, and insights
Data Quality & Validity
  • Strong focus on data quality, data integrity, and validity
  • Build and execute data quality checks to:
    • Catch errors
    • Identify inconsistencies
    • Validate data accuracy and completeness
  • Troubleshoot data issues across source systems and Snowflake
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