Data Business Analyst (Villa Gobernador Galvez), Gobernador Gálvez

As a Data Business Analyst, you'll play a critical role in defining and delivering products that drive meaningful business outcomes.You'll be expected to think like an owner—making trade-offs, driving growth, and influencing results across both customer-facing products and internal platforms.In this role, support data modernization initiatives across the organization.ResponsibilitiesPerform detailed data mapping between source and target systems, defining transformation logic, business rules, and validation criteria.Work closely with data engineers, architects, and subject matter experts to clarify data lineage, dependencies, and quality requirements.Collaborate with business stakeholders to understand data usage, reporting needs, and key performance metrics.Develop and maintain data dictionaries, business glossaries, and metadata documentation.Conduct data profiling and quality assessments to identify gaps, inconsistencies, and anomalies.Define and support data validation and reconciliation processes to ensure accuracy after migration.Assist in the design and testing of ETL/ELT processes, ensuring alignment with business rules and technical standards.Support user acceptance testing (UAT) for data-related deliverables by defining test scenarios and validating outcomes.Partner with governance teams to ensure data standards, definitions, and ownership are clearly documented and maintained.Provide clear, structured documentation that can be leveraged by technical and business teams for future reference.Continuously identify opportunities to improve data accuracy, integrity, and accessibility as part of the modernization effort.Qualifications3+ years of experience as a Data Business Analyst or similar role in data or software projects.Proven experience managing data migration or data modernization projects.Must have strong SQL skills.Solid understanding of data modeling concepts, batch and streaming transformation processes, data governance frameworks (Apache Ranger, Immuta, Unity Catalog), data quality frameworks (great expectations), monitoring and observability platforms (Datadog), cloud providers (AWS, GCP), data platforms and frameworks (Apache Spark, Databricks, Presto, EMR).
Strong organizational, analytical, and communication skills.Ability to translate technical concepts into business terms and vice versa.Databricks certification.Experience with tools like Jira, Confluence, Notion.Background in data engineering or data analytics is a strong plus.Experience working in regulated or enterprise environments with strict data governance.Education and ExperienceBachelor's degree in Business, Computer Science, Engineering, or related field required.MBA or relevant graduate degree preferred but not required.
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