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Lead Analytics Engineer
Location
Ohio
Posted
89 days ago
Salary
0
Seniority
Senior
Job Description
Lead Analytics Engineer
Sundays for Dogs
• Develop and maintain high-quality dbt models, tests, documentation, and workflows to create reliable transformation pipelines. • Build and optimize dimensional and semantic data models that power business-critical reporting and analysis. • Partner with data consumers and stakeholders to translate business questions into well-defined datasets and semantic definitions. • Design, build, and maintain the semantic layer for visualization tools such as Omni Analytics, Looker, or Sigma. • Ensure data quality and trust by implementing automated testing, monitoring, and observability best practices. • Collaborate with Engineering to scale pipelines, improve performance, and reduce latency in the analytics stack. • Own the data modeling strategy and governance standards, including conventions, documentation, and onboarding practices. • Mentor and guide other analytics engineers and data team members on best practices.
Job Requirements
- 6+ years of experience in analytics engineering, data engineering, or related roles.
- Deep expertise with dbt, including advanced modeling, macros and testing frameworks.
- Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Databricks).
- Significant hands-on experience developing in modern visualization layer platforms such as Omni Analytics, Looker, or Sigma.
- A solid understanding of DTC and ecommerce metrics such as CAC, LTV, cohort analysis, retention and forecasting.
- Experience translating business needs into structured, reusable analytics models.
- Excellent communication skills and ability to present technical concepts to business stakeholders.
Benefits
- Flexible work arrangements
- Professional development opportunities
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Analytics Engineer
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