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Data Analyst

Job

Insight Global

Sioux Falls, SD (In Person)

Full-Time

Posted 2 weeks ago (Updated 21 hours ago) • Actively hiring

Expires 6/7/2026

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Job Description

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 HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/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: o Running queries o Loading data o 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: o Catch errors o Identify inconsistencies o Validate data accuracy and completeness
  •  Troubleshoot data issues across source systems and Snowflake

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