Data Quality Steward — CRM/MDM Operations

Viacomcbs; Seattle (WA); On-site; USD 70,000 - 90,000; Full time

Job summary

ViacomCBS is seeking an Associate for US Data Operations to manage data quality across CRM and MDM systems. The role includes routine reporting, data standardisation, cleansing, de-duplication, and enforcing data quality standards and best practices.

You will update core records, handle data change requests, perform ad-hoc analysis, and ensure alignment between CRM and MDM while maintaining SOPs and data governance. GDPR requests and data validation are part of daily tasks.

Qualifications

• Strong analytical and problem-solving skills.
• Knowledge of databases and SQL and analytical tools.
• Familiarity with MS Office tools – Word, Excel, PowerPoint.
• Document processes and adhere to SOPs.
• Basic project management skills and attention to detail.
• Ability to manage multiple projects/requests simultaneously.
• Teamwork and collaboration ensuring compliance.

Responsibilities

• Manually update CRM/MDM records to improve data quality.
• Manage Customer Data Change Requests.
• Audit data quality and coordinate with IT for data tasks.
• Apply GDPR related requests such as opt-outs.
• Document actions and maintain data quality processes.
• Plan improvements and select tools for data quality programs.
• Perform daily CRM/MDM maintenance and data quality searches.

Skills

Analytical thinking

SQL

Databases

MS Office

Documentation

Project management

Multitasking

Teamwork

Tools

JIRA

ServiceNow

Informatica

Veeva

Qlik

PowerBI

Snowflake

Job description

ViacomCBS is seeking an Associate for US Data Operations to manage data quality across CRM and MDM systems. The role includes routine reporting, data standardisation, cleansing, de-duplication, and enforcing data quality standards and best practices.

You will update core records, handle data change requests, perform ad-hoc analysis, and ensure alignment between CRM and MDM while maintaining SOPs and data governance. GDPR requests and data validation are part of daily tasks.