[Job-30891] Senior Data Business Analyst, Brazil

Mandatory requirements to participate in the selection process:

This role is ideal for a professional who excels at connecting business and technology, ensuring accurate data mapping, high data quality, and successful migration delivery throughout the entire project lifecycle.

Your Responsibilities

• Gather, analyze, and document source-to-target data mapping requirements.

• Act as the main bridge between business stakeholders and engineering teams.

• Collaborate with developers during development, unit testing, and functional testing phases.

• Validate migrated data, investigate inconsistencies, and support data quality and cleanup activities.

• Facilitate discussions related to data structures, migration scope, business rules, and edge cases.

• Create and analyze reports and dashboards to support migration tracking and business visibility.

• Contribute to governance and quality assurance activities throughout the migration process.

Required Qualifications

• Advanced / Fluent English (C1 or higher).

• Experience as a Business Analyst or Data Analyst in large-scale data migration projects.

• Strong experience with data mapping, data transformations, and data lineage concepts.

• Ability to work effectively with both business stakeholders and technical teams.

• Experience supporting testing, validation, and defect resolution activities.

• Hands-on experience with Power BI, Tableau, Looker, or similar BI tools.

• Strong analytical, problem-solving, and communication skills.

• Experience working with Agile methodologies and collaboration tools such as Jira and Confluence.

Nice to Have

• Experience with Manhattan WMS / Manhattan Active WM / SCALE or other Supply Chain and Warehouse Management platforms.

• Knowledge of SQL for data analysis, profiling, and validation.

• Experience with data governance and data quality initiatives.

• Certifications such as CBAP, PMI-PBA, CSPO, or other Business Analysis / Agile certifications.

If you are passionate about data migration, business analysis, and working in a collaborative global environment, we would love to hear from you!