Associate Data Governance Analyst: Data Quality & MDM

Capgemini

Dallas, Northern (TX, KY)

Hybrid

USD 46,000 - 111,000

Full time

7 days ago
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Benefits offered by this job

401(k) plan
Paid time off
Health benefits

Job summary

Capgemini is seeking an Associate Data Governance Business Analyst in Dallas to support data governance, MDM, and data quality initiatives. You will analyze client data, assist in defining governance frameworks, and help deliver reports, data models, and governance documentation.

Collaboration with cross-functional teams is essential, as is staying updated on AI trends and responsible AI practices. The role focuses on turning data into trusted information, with emphasis on process improvement,

Qualifications

  • Experience in data governance, data quality, MDM, and data privacy frameworks.
  • Ability to gather, organize, and analyze client data to identify gaps and risks.
  • Excellent written and verbal communication for technical and non-technical audiences.

Responsibilities

  • Support client engagements in data governance, MDM, and data privacy.
  • Assist in gathering and analyzing client data to identify gaps and improvement opportunities.
  • Contribute to client deliverables such as reports, maps, and data models.
  • Participate in workshops and interviews to capture requirements.
  • Research industry trends in data trust and responsible AI.

Skills

Data governance
Analytical thinking
Communication
Problem solving
AI literacy
Internship/Co-op experience

Education

Bachelor's degree in a relevant field

Tools

Power BI
Tableau
SQL
Python
MDM platforms

Job description

Capgemini is seeking an Associate Data Governance Business Analyst in Dallas to support data governance, MDM, and data quality initiatives. You will analyze client data, assist in defining governance frameworks, and help deliver reports, data models, and governance documentation.

Collaboration with cross-functional teams is essential, as is staying updated on AI trends and responsible AI practices. The role focuses on turning data into trusted information, with emphasis on process improvement,

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