CRM Data Analyst

Title: CRM Data Quality Analyst - 29829 Location: Remote or On-site, San Francisco, CA (2nd St) Classification: W2 under Staffing Supplier Contract Duration: April 27, 2026 – September 30, 2026 Compensation: $54.33/hour Visa Sponsorship: Not provided Position Overview The Ads & Promotions division seeks a detail-oriented CRM Data Quality Analyst to support the Franchise segment by maintaining data accuracy, consistency, and integrity across CRM platforms and reporting systems. This role is responsible for reconciling records, executing data clean-up, supporting customer onboarding, and collaborating across Sales, Account Management, and Operations to enable effective campaign execution and partner engagement. Key Responsibilities • Reconcile CRM data across multiple platforms, internal tools, exports, and dashboards to ensure consistency and accuracy. • Identify, investigate, and resolve duplicate, incomplete, or inconsistent CRM records. • Execute bulk data cleanup and normalization; standardize naming conventions, formats, and account hierarchies. • Conduct regular data quality audits and proactively report systemic issues impacting integrity. • Build, maintain, and enhance validation rules, workflows, and QA processes; prevent future data discrepancies. • Partner cross-functionally to resolve data errors, correct discrepancies, and reinforce best practices. • Document data processes, cleanup methodologies, and governance standards. • Recommend and implement improvements to sustain ongoing data hygiene and scalability. • Set up new customers, verify information, troubleshoot setup issues, and escalate complex problems. • Ensure completeness, accuracy, and validity in master data procedures and customer request processing. • Participate in projects as assigned; escalate technical production issues to IT for resolution. Qualifications Required: • 2–5 years’ experience in data quality, operations, CRM management, or related field. • Hands-on experience with CRM platforms (e.g., Salesforce or similar). • Advanced proficiency in Excel or Google Sheets (pivot tables, VLOOKUP/XLOOKUP, data manipulation). • Strong skills in data reconciliation, cleansing, and validation. • Exceptional attention to detail; capable of identifying inconsistencies and data patterns. • Strong organizational and problem-solving abilities. Preferred: • Experience with Ads, Promotions, or Sales Operations functions. • Familiarity with franchise or multi-location business models. • Basic SQL/querying experience and ability to work with large datasets. • Exposure to data governance or stewardship practices.