Responsibilities:

• Conduct data profiling to identify data quality issues, including data inconsistencies, missing data, and data discrepancies.
• Work with business stakeholders to identify data requirements and data quality rules.
• Develop and implement data quality checks and data validation routines.
• Collaborate with data engineers and data scientists to ensure data accuracy and completeness.
• Conduct root cause analysis and resolve data quality issues in a timely manner.
• Monitor and report on data quality metrics, including data completeness, data accuracy, and data consistency.
• Continuously improve data quality processes and procedures.

Skills and Qualifications:

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong analytical and problem-solving skills.
• Experience with data mining, data cleansing, and data analysis.
• Proficiency in SQL and database management.
• Familiarity with data quality tools such as Talend, Informatica, or Trillium.
• Experience with data visualization and reporting tools such as Tableau or Power BI.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Strong attention to detail and accuracy.