Data Quality Analyst (Data Governance & DQ)

Purple Drive Technologies

$90K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data governance and quality controls
  • Strong SQL query skills
  • Familiarity with DQ platforms like Collibra
  • Proven ability in stakeholder presentations
  • Experience in relational databases and data modeling

Responsibilities

  • Implement DQ controls in collaboration with Product Owners, including reporting and documentation
  • Create DQ scorecards to assess data quality
  • Understand data definitions and relationships in business context
  • Troubleshoot data issues and coordinate with data providers
  • Collaborate with Data Engineers on technical solutions for DQ challenges

Benefits

  • Opportunity to work with advanced data governance technologies
  • Collaborative environment with cross-functional teams
  • Chance to contribute to data integrity initiatives
  • Professional development opportunities in data quality management
  • Flexible working arrangements available
Full Job Description
Data Analyst with DQ

Skill Set

1. Excellent understanding of Data governance and data quality controls

2. Experience with implementation and monitoring of DQ controls

3. Experience with reporting and trouble shooting of DQ alerts

4. Experience with DQ platforms like Collibra

5. Experience with Relational databases and data modelling

6. Strong SQL query skills

7. 5+ Years of experience

8. Strong stakeholder presentation skills

9. Organization and planning skills

10. Good verbal and written communication skills

Responsibilities

1. Product Owners to implement DQ control - covering implementation, reporting and documentation of DQ rules

2. Creating DQ score card that goes with datasets

3. Develop a thorough understanding of data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain

4. Trouble shoot data issues and work with data providers for implementation

5. Work with Data Engineers who will implement technical solutions to meet business requirements and handle DQ issues

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