US Anesthesia Partners

IT Data Warehouse QA Intern

US Anesthesia Partners

internship

Posted on:

Location Type: Hybrid

Location: DallasTexasUnited States

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About the role

  • The IT Data Warehouse Quality Assurance Intern would be responsible for the development of testing strategies, test plans, test cases, and SQL validation scripts to support testing of data integration solutions.
  • Works with internal business units, analysts, and key stakeholders to understand the requirements to provide required testing support in terms of data validation, data analysis, defect management and test results documentation.

Requirements

  • Bachelor’s degree in computer science, Computer Engineering, Information Technology, Mathematics, Data Analytics, Business Information Systems or equivalent degree with relevant experience required.
  • Should be able to work without visa sponsorship.
  • Domain knowledge of Healthcare Industry preferred.
  • Experience with Data Warehouse or Data bases testing using SQL to query, create tables, views, indexes, joins, user defined functions and stored procedures.
  • Knowledge of facts and dimension tables, star, and snowflake schemas.
  • Knowledge of testing Power BI and SSRS Reports or similar BI solutions.
  • Experience with MS SQL Server, MS Azure, or other similar DB platforms.
  • Knowledge about Azure DevOps preferred.
  • Experience working with Agile Methodology preferred.
  • Excellent verbal and written communication skills.
  • Excellent data analysis skills.
  • Excellent defect management skills.
  • Ability to adapt to a quick-paced environment that may include changing priorities.
  • Ability to trouble shoot data quality issues and identify root causes.
Benefits
  • Occasional travel to our Dallas office
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata validationdata analysisdefect managementtest planstest casestesting strategiesPower BISSRSAgile Methodology
Soft Skills
verbal communicationwritten communicationadaptabilitytroubleshootingdata quality analysis