Analytics Engineer

• 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.

Analytics Engineer – Digital Media

• Participate in vendor scoping sessions to finalize full table and field requirements before the build phase begins.
• Model a dedicated datamart in the dbt transformations marts layer, sourcing data from core order, line item, and customer tables.
• Translate vendor schema specifications into specific internal field mappings, accurately accounting for DTC-adjusted logic such as ship-to addresses, order dates, and customer grain.
• Configure Snowflake data sharing and connections to facilitate seamless vendor ingestion.
• Write comprehensive dbt tests and documentation for all delivered models to ensure long-term data quality and transparency.
• Manage the full merge request workflow using GitLab, adhering to strict peer review processes before deployment.

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Analytics Engineer – Digital Media

Senior Analytics Engineer – ETL/ELT Focused, Design Marketplace