Data Quality & Governance Intern

GAF

Parsippany-Troy Hills (NJ)

On-site

USD 23,000 - 32,000

Part time

3 days ago
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Job summary

GAF in Parsippany-Troy Hills, NJ invites a Master Data Management intern to gain hands-on experience organizing, cleansing, and governing core enterprise data assets across systems.

You will learn from data architects and analysts, work with Excel and SQL, and support data quality initiatives, SOPs, and data dictionaries while collaborating with business units. This internship offers mentorship and real-world projects in an enterprise data environment.

Qualifications

  • Enrollment in an associate's or bachelor's program in IS/CS/Data Analytics/MIS or related field.
  • Familiarity with database concepts, SQL basics, and data analysis tools.
  • Eagerness to learn enterprise data tools and governance practices.
  • Strong attention to detail and clear communication.

Responsibilities

  • Assist in data cleansing, auditing, profiling, and quality checks across systems.
  • Document data flows, SOPs, data dictionaries, and governance policies.
  • Collaborate with business units to investigate data discrepancies and support root-cause analysis.
  • Participate in MDM migrations, upgrades, or testing activities and validate data models.
  • Prepare routine operational reports using Excel/SQL/Sheets.

Skills

Data cleansing
Data governance
Data quality
SQL
Excel
Google Sheets
Communication
Problem solving

Education

Associate's or Bachelor's in Information Systems or CS or Data Analytics or MIS

Tools

SQL
Excel
Google Sheets
Informatica
SAP
Salesforce
Oracle

Job description

GAF in Parsippany-Troy Hills, NJ invites a Master Data Management intern to gain hands-on experience organizing, cleansing, and governing core enterprise data assets across systems.

You will learn from data architects and analysts, work with Excel and SQL, and support data quality initiatives, SOPs, and data dictionaries while collaborating with business units. This internship offers mentorship and real-world projects in an enterprise data environment.

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