Analytics Engineer

• 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 Peru

Analytics Engineering Manager, Data Platform – Governance