Analytics Engineer

• Own Reporting Reliability & Data Quality Ensure dashboards and reports are accurate, reliable, and always available Implement monitoring, alerting, and SLAs for critical reporting assets Investigate and resolve data issues with a clear root-cause analysis
• Build Scalable Data Models Design and optimize SQL transformations and data models Improve the performance of datasets and reporting queries Reduce duplication by centralizing business logic in the data layer
• Deliver High-Impact BI Solutions Build and maintain dashboards, reports, and analytical tools Translate business needs into scalable BI solutions Deliver projects with clear estimation and predictable execution
• Ensure Data Trust & Observability Implement data validation checks and anomaly detection Proactively identify issues before they impact stakeholders Improve overall data quality across pipelines and reporting
• Partner with the Business Act as a trusted partner for Marketing and commercial teams Define and maintain key metrics (CAC, ROAS, conversion funnels, etc.) Generate insights that directly influence business decisions

Senior Data Analytics Engineer, BI

• Design, build, and maintain scalable data models in Amazon Redshift to support reporting, dashboards, and ad hoc analysis.
• Collaborate with data engineering teams to expand and optimize the analytics warehouse architecture.
• Establish and enforce standards for schema design, naming conventions, and data lineage.
• Develop, maintain, and optimize data pipelines that deliver clean and reliable data to business users.
• Partner with stakeholders to gather requirements and translate business needs into scalable data solutions.
• Create and maintain comprehensive data documentation, including metrics definitions and transformation logic.
• Support BI platforms by ensuring analytics-ready datasets and assisting with dashboard development.
• Monitor data quality and implement testing, alerting, and validation processes to ensure warehouse reliability.
• Identify opportunities to improve data accessibility, consistency, and usability across the organization.
• Promote best practices in analytics engineering, including version control, code reviews, and reproducible workflows.

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Senior Data Analytics Engineer, BI

Analytics Engineer – Digital Media