About your team and position:

Sundays is a high-growth, category-defining brand that has built a sizable business — without a formal analytics engineering foundation. Now, we’re investing in doing data right. We’re hiring our first Lead Analytics Engineer to build our transformation layer from scratch, establish trusted definitions across the company, and create a scalable dbt-powered foundation that turns rich customer data into durable business advantage. Reporting to our newly appointed VP of Data, this is a rare opportunity to architect the analytics stack at a company that already knows its customers deeply — and is ready to get dramatically smarter.

This role is fully remote within the U.S., with travel to our Cleveland headquarters for onboarding and quarterly in-person collaboration to stay connected as a team.

Your day-to-day:

• 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.

We'd love to hear from you if you have:

• 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.

Nice to Have:

• Experience with data observability and monitoring tools.
• Familiarity with reverse ETL tools and workflows.
• Python experience for orchestration or transformation tasks.

**RECRUITING SCAM ALERT**
We’ve been made aware of scammers impersonating Sundays for Dogs and inviting candidates to interview via Microsoft Teams.

To protect yourself, please note:

• We do not conduct interviews over Microsoft Teams.
• All interview scheduling communications will come from one of the following domains: @ats.rippling.com (our official applicant tracking system) or @sundaysfordogs.com.

If you receive outreach from any other email domain or are asked to communicate outside of these channels, it is not from our team.

We strongly suggest you do not share any personal or confidential information if you are unsure about the legitimacy of the communication.

If you have questions about whether a message is legitimate, contact us directly at people@sundaysfordogs.com.