Key Responsibilities:

Develop and implement data quality processes, standards, and procedures to ensure the accuracy and completeness of data across all systems.
Monitor and analyze data quality metrics, identifying areas for improvement and implementing solutions to address issues.
Collaborate with cross-functional teams to understand data requirements and ensure data integrity throughout the data lifecycle.
Conduct data audits and validations to identify inconsistencies or errors and work towards resolving them.
Establish and maintain data quality rules and perform regular data checks to ensure compliance with these rules.
Train and educate employees on data quality standards and procedures to promote a data-driven culture within the organization.
Develop and maintain data quality dashboards to provide transparency and visibility into data quality issues.
Identify and resolve data quality issues in a timely manner to minimize the impact on business operations.
Create and maintain data dictionaries, data lineage, and data flow diagrams to document data sources and processes.

Qualifications:

Bachelor's degree in Computer Science, Information Management, or a related field.
Minimum of 5 years of experience in data quality management or a similar role.
Extensive knowledge of data quality frameworks, tools, and best practices.
Proficient in SQL, with hands-on experience in data validation, cleansing, and manipulation.
Experience with data visualization tools such as Tableau or Power BI.
Excellent analytical and problem-solving skills with a keen eye for detail.
Strong communication and interpersonal skills to collaborate with cross-functional teams.
Ability to work in a fast-paced and dynamic environment, managing multiple projects and priorities effectively.

Join us in our mission to maintain high-quality data and drive business success.

Hashtags