Data quality analyst

A data quality analyst ensures the accuracy, reliability, and validity of data used in an organization. They utilize various tools and methodologies to assess, improve, and maintain the quality of data. This role often involves data cleansing, data validation, and troubleshooting data-related issues. They also create data quality reports and provide feedback to improve data management practices. Main Activities Analyze and profile data to identify data quality issues Develop and implement data quality standards and processes Monitor data quality metrics and develop reports Work with IT teams and business stakeholders to identify root causes of data quality issues Develop and maintain data quality rules and data quality scorecards Work with data owners and data custodians to ensure data quality standards are followed Participate in data quality improvement projects Identify opportunities to improve data quality processes and procedures Collaborate with other data management professionals to ensure consistency and accuracy of data Develop and maintain data quality documentation Complementary Activities Data Cleansing: A data quality analyst often performs data cleansing, which involves identifying, correcting, or removing corrupt, inaccurate, or irrelevant parts of data from a database or data set. This activity helps maintain the accuracy and reliability of the data. Data Documentation: Creating and maintaining thorough documentation about the data's source, its transformations, its uses, and its quality measures. This activity facilitates better understanding and traceability of the data, which is crucial for troubleshooting, for ongoing quality measures, and for new team members. Cross-Functional Collaboration: Collaborating with different teams across the organization can be a complementary activity for a data quality analyst. This could involve working with data engineers to improve data collection methods, with data scientists to ensure the quality of data used in models, or with business analysts to understand the business implications of data quality issues. This collaboration can help ensure that data quality efforts align with the organization's broader goals and needs. Minimum Requirements 2+ years of experience in data quality analysis or related field Skills: Familiarity with data quality frameworks and tools such as Informatica or Talend Knowledge of SQL and database concepts Good analytical and problem-solving skills Good written and verbal communication skills Ability to work independently and as part of a team Attention to detail Bachelor's degree in Computer Science, Information Systems, or a related field

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