
Junior Data Governance Analyst
Posted Aug 6

Posted Aug 6
This is a fully remote position, open to applicants in Mexico.
• Conduct the standardization of products and branches, relating sell-out data to the corporate catalog.
• Validate information weekly alongside Key Account Managers (KAMs).
• Maintain and update the branch catalog by gathering information for new entries.
• Ensure the completeness, consistency, and uniqueness of data before integrating it into the catalog.
• Execute the addition and updates of branches directly in the database after completing validations.
• Generate and sustain automated reports to monitor the standardization process.
• Document processes, criteria, and tools utilized in the standardization operations.
• Participate in Data Quality and Data Governance activities.
• Identify inconsistencies or potential improvements in processes and suggest alternatives.
• Collaborate with Data teams and business areas following established processes.
• Advanced student or graduate in Statistics, Mathematics, Physics, Systems Engineering, Computing, or related fields.
• 1 to 2 years of experience in data analysis.
• Knowledge of Python for data cleaning, transformation, and analysis.
• Familiarity with SQL and relational databases, including queries and validation of unique IDs.
• Proficiency in Excel, including filters, pivot tables, and formulas.
• Experience or knowledge of Business Intelligence tools for report generation.
• Ability to learn quickly and adapt to new environments and technical tools.
• Excellent attention to detail and rigor in process execution.
• Ability to follow procedures and validate work before delivering results.
• Responsibility and autonomy to track tasks without constant supervision.
• Good communication skills and the ability to collaborate with business and technology teams.
• Proactivity and a focus on continuous improvement.
• Previous experience with Data Quality will be a plus.
• Knowledge of Data Governance or data cataloging and standardization processes will be a plus.
• Experience working with large volumes of information will be a plus.
• Work on projects for a leading and large-scale company.
• Join a professional environment with structured processes and methodologies.
• Work with Python, SQL, Excel, and Business Intelligence tools.
• Learn how data is managed in real business operations.
• Collaborate with technical teams and business areas.
• Build experience that can pave the way for future positions in Data Analytics, Data Engineering, or Data Governance.
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