Data Coordinator, Customer Experience

Role Overview

• Accurately input and update data in databases, spreadsheets, and other data repositories.
• Regularly audit and verify the integrity of data to ensure accuracy and consistency.
• Resolve any discrepancies or errors in the data and take corrective actions.
• Communicate project timelines and updates to various stakeholders.
• Coordinate, organize, and prioritize multiple tasks/priorities in a fast-paced environment during benchmark periods.
• Implement and enforce data quality standards and protocols.
• Ensure data accuracy, integrity, and accessibility across all organizational systems.
• Analyze datasets to identify trends, insights, and opportunities for operational improvement.
• Collaborate with relevant stakeholders to improve data quality processes.
• Conduct regular data analysis to identify trends, opportunities, and areas for operational improvement.
• Work closely with other teams, such as Business Systems, Product Data Integrity, IT, Human Resources, etc. to understand data requirements and ensure data consistency.
• Generate and distribute routine reports based on established schedules.
• Assist in the development of custom reports for special projects across CX.
• Create automated reporting processes where possible to streamline data delivery to stakeholders and increase efficiency.
• Create and maintain comprehensive documentation related to data entry procedures and standards.
• Train new staff on data entry procedures and best practices to ensure accurate and efficient data entry.
• Implement and adhere to data security and privacy policies to ensure the protection of sensitive information.

Requirements

• Bachelor's degree in a relevant field (e.g., information management, business, computer science) or equivalent work experience
• Proven experience in data entry and data management roles
• Strong proficiency in data entry software and database systems
• Excellent attention to detail and accuracy in data handling
• Effective communication skills and the ability to work collaboratively in a team environment
• Understanding of data security and privacy best practices
• Proficiency in Google Workspace and Microsoft Office Suite
• Developing data models and algorithms
• Ability to learn and adopt new tools and methods for data collection and reporting

Benefits

• 401(k) plan
• competitive health insurance and mental health options
• basic life insurance
• paid time off
• parental leave
• access to best-in-class development programs