Key Responsibilities:

Develop and maintain data quality standards and processes to ensure accuracy, completeness, and consistency of data across all systems and platforms.
Collaborate with cross-functional teams to understand data requirements and identify potential data quality issues.
Design and execute data quality tests to identify and resolve any data discrepancies or errors.
Develop and implement automated data quality checks and reports.
Monitor data quality trends and provide insights to stakeholders.
Develop and maintain documentation of data quality processes and procedures.
Work closely with the data analytics team to validate data accuracy and support data analysis projects.
Identify areas for improvement and make recommendations for process and system enhancements.
Keep up-to-date with industry trends and best practices in data quality assurance.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum of 3 years of experience in data quality assurance or a similar role.
Strong understanding of data quality principles, processes, and tools.
Proficiency in SQL and experience with data quality tools such as Informatica, Talend, or Trifacta.
Experience working with large datasets and databases.
Strong analytical and problem-solving skills.
Excellent attention to detail and ability to identify patterns and trends.
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team.
Experience with data governance and data management is a plus.

Join our team and be a part of a fast-paced and innovative organization dedicated to delivering high-quality data solutions.

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