Data Quality Specialist (Philippines, Remote)

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Requirements:

• 2+ years in data stewardship, data governance, business intelligence, or sales operations.
• Must have experience managing or cleaning customer data to maintain high-quality records.
• Must have a high standard for data quality and an exceptional attention to detail.
• Experience developing and documenting standard operating procedures (SOPs).
• Ability to work cross-functionally and drive alignment on data initiatives.
• Comfortable with Microsoft Excel.
• Familiarity with CRM platforms (Salesforce preferred) or MDM platforms is beneficial.
• Experience with tools like Tableau or Power BI is helpful but not required.

Responsibilities:

• Maintain and improve account data quality, ensuring accurate and consistent records.
• Ensure uniformity in account and contact details by maintaining standardized data formats and naming conventions.
• Identify, assess, and execute account merging and deduplication efforts to streamline records.
• Maintain correct parent-child account structures and ensure proper account hierarchy relationships.
• Collaborate with Sales, Finance, Marketing, and Business Intelligence teams to align account structures across platforms.
• Develop and implement SOPs for account management and data tracking.
• Enforce data governance rules and policies to ensure consistency, accuracy, and compliance across systems.
• Establish best practices for handling account updates, merges, and data validation.
• Monitor data governance compliance and proactively address inconsistencies.
• Support the development and maintenance of TAM models to ensure accurate market sizing.
• Work closely with cross-functional teams to refine TAM methodologies and align with business strategies.
• Create and manage tracking mechanisms for monitoring TAM shifts and insights.
• Partner with Business Intelligence, Sales Ops, and Business Systems to ensure data integrity.
• Identify opportunities to automate and enhance account and TAM management processes.
• Provide insights and recommendations based on data trends and analysis.