Search Content Quality Analyst

• Data Validation and Cleansing: Conduct regular checks to validate the accuracy and completeness of data.
• Quality Control Framework Development: Develop and implement data quality standards, policies, and procedures.
• Root Cause Analysis: Investigate the underlying causes of data quality issues.
• Work with data engineers and other stakeholders to implement permanent solutions and prevent recurrence of these problems.
• Data Governance Collaboration: Collaborate with data governance teams to ensure compliance with company policies and regulations.
• Assist in defining data ownership and stewardship to promote accountability.
• Process Improvement: Proactively identify opportunities to improve data collection, storage, and processing workflows.
• Suggest and implement changes to enhance data quality and streamline data management processes.
• Documentation: Maintain comprehensive documentation of data quality processes, business rules, and quality assurance processes. This ensures that everyone understands the data and how it should be used.

• Detail-oriented, organized, and able to work on multiple projects over the course of a day;
• Proficiency (C1) in English;
• Demonstrated ability to work independently;
• Excellent analytical skills, logical problem solving skills;
• Creative, out-of-the-box thinking;
• Experience troubleshooting complex problems;
• Meticulously high level of attention to detail and accurate documentation of information;
• Excellent interpersonal, communication and listening skills;
• High level of cultural sensitivity and awareness to work effectively with diverse teams.

Qualitest