Analytics Engineer

• Develop, modify, and maintain dashboards and reports in Power BI, Tableau, Databricks AI/BI, Looker, or similar BI tools
• Translate business requests submitted through the ticketing system into accurate and actionable data visualizations
• Ensure consistency in definitions, metrics, and data logic across reports
• Optimize queries and dashboards for performance and clarity
• Document logic and assumptions behind key metrics and dashboards
• Create and maintain database views, derived tables, and other analytical objects
• Perform data modeling and transformation tasks for reliable downstream reporting
• Troubleshoot data discrepancies and validate data accuracy across systems
• Collaborate on data structure and warehouse organization improvements
• Deliver accurate, well-documented dashboards within agreed SLAs
• Produce clean, reusable SQL objects for long-term reporting needs
• Improve clarity and consistency in metric definitions and reduce reporting-request back-and-forth
• Collaborate closely with cross-functional teams and support more junior team members

Analytics Engineer, BI

• Own the company-wide data roadmap for product, marketing, operations, and finance
• Prioritize platform health and stakeholder needs, present and defend the roadmap, and re-plan as the business changes
• Build automated monitoring for source data, pipelines, and reports
• Detect upstream schema and source changes before downstream breakage and run incidents to resolution
• Maintain data lineage and impact analysis from production source through warehouse models to dashboards
• Establish data contracts and integrate impact assessment into engineering change review
• Administer Lightdash, including workspace structure, permissions, certification, naming, rollout, enablement, query performance, and warehouse costs
• Extend and govern the semantic layer with one controlled definition per metric
• Govern Segment event tracking, including event review, catalog maintenance, naming, property dictionary, lifecycle, and drift detection
• Govern AI data access and keep the warehouse documented, consistent, safe, and AI-legible
• Manage data security and privacy, including access controls, PII handling, retention, and periodic access reviews
• Build documentation, ownership models, and review loops that make governance sustainable
• Start as an individual contributor and later hire and manage a Lead Analytics Engineer

Analytics Engineer jobs in Uruguay

Analytics Engineer, BI

Analytics Engineering Manager, Data Platform – Governance