Data Quality Analyst II
Quick Summary
Regularly audit and clean account data, hierarchies, and territory alignments within Salesforce to ensure accuracy, completeness, and relevance.
Identify, document, and raise data quality issues regarding system processes and procedures. Collaboration: Work cross-functionally with global sales, marketing,
Responsibilities
~1 min read- →Data Enrichment: Regularly audit and clean account data, hierarchies, and territory alignments within Salesforce to ensure accuracy, completeness, and relevance.
- →Data Quality Monitoring: Manage deduplication processes, data validation, and ongoing quality reporting.
- →Data Governance: Ensure data management practices align with internal policies, compliance requirements, and industry best practices.
- →Process Improvement: Identify, document, and raise data quality issues regarding system processes and procedures.
- →Collaboration: Work cross-functionally with global sales, marketing, and regional teams to drive data issues to resolution.
- →Reporting: Create and modify Salesforce reports to suit localized and global field needs.
- →Ticketing Systems & Support: Provide timely guidance to end-users with data entry, account creation, and general system requests.
- Minimum of 3+ years of professional hands-on experience in a Data Quality or similar data management role.
- Ensuring strict SLAs are met and all data support requests are driven to full resolution.
- Successfully leading data quality improvement initiatives for Salesforce to optimize data accuracy
- Conducting regular data audits to identify duplicates, missing information, and other discrepancies, while swiftly implementing corrective actions.
- Creating automated reports in Salesforce to flag potential data issues in real-time.
- Managing and structuring large datasets to prepare them for analytics and mass system uploads.
- Working with cross-functional to transform data and increase overall system integrity.
- Developing dynamic dashboards and reports to track actionable key data quality metrics.
- Thriving in a flexible work environment, managing a hybrid schedule (2 days in-office, 3 days WFH), and successfully handling PST/rotational shift dynamics.
- Consistently adhering to company policies and maintaining a high standard of professional communication (both written and verbal).
- Multitasking efficiently between urgent, ad-hoc requests and daily operational commitments.
- Attention to Detail: Exceptional focus on data accuracy and an innate ability to spot minor discrepancies or inconsistencies.
- Problem-Solving Skills: Creative and proactive in developing sustainable solutions to data-related issues and improving legacy data processes.
- Process Documentation: Ability to clearly document workflows, guidelines, and best practices for maintaining long-term data integrity.
- CRM System: Salesforce (Required)
- Data Manipulation: Advanced Excel / Google Sheets
- Data Querying: Salesforce Reporting & Dashboards
- Data Quality Tools: DemandTools, DataLoader, SalesforceInspector
- Data Enrichment Tools: Dun & Bradstreet (D&B), ZoomInfo, Traction Hierarchies
Nice to Have
~1 min read- Data Visualization: Anaplan
- Advanced Data Querying: SQL / SOQL
- Salesforce Certified Administrator or Salesforce Certified Data Architect.
Requirements
~1 min readDegree: Bachelor’s at minimum with 3+ yrs of experience
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Location & Eligibility
Listing Details
- Posted
- May 19, 2026
- First seen
- May 19, 2026
- Last seen
- May 19, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- May 19, 2026
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