Senior Analytics Engineer

Job Description

Babylist is seeking a Senior Analytics Engineer to join its Data Team. The Data Team powers data-informed decisions across the business. The Senior Analytics Engineer will play a key role in designing and delivering well-structured, reliable data products using a modern data stack. This individual will collaborate across Product, Engineering, and Executive Leadership to build trusted data foundations and models that support the company’s most critical decisions.Role involves:

• Owning and evolving core data models that drive company-wide reporting, metrics, and analysis.
• Building robust, maintainable dbt models that form the foundation of our analytics layer.
• Collaborating with cross-functional teams to define and model key business metrics.
• Working across our stack (Snowflake, Airflow, dbt, Python, Sigma) to deliver clean and trustworthy data products.
• Defining, enforcing, and improving standards for documentation, testing, observability, and performance.
• Partnering with stakeholders—including senior leaders—to understand data needs and ensure solutions align with business goals.
• Mentoring others in data modeling and best practices.

Requirements:

• 5+ years experience in analytics or data engineering, with a strong focus on building scalable data models.
• Deep fluency in SQL and dimensional modeling (star schema, slowly changing dimensions, surrogate keys, etc.).
• 3+ years experience working in dbt, ideally in a production environment with CI/CD and testing as a well established core principle.
• Comfortable working across the full stack: Sigma, dbt, Snowflake, Airflow, Python (or similar tools).
• Strong stakeholder management skills, including experience presenting to executives or C-level leaders.
• Pragmatic approach to tradeoffs—can balance long-term maintainability with short-term value.
• Enjoys working as part of a collaborative, supportive, and mission-driven team.
• Experience with ML data pipelines, Terraform, or DevOps.
• Exposure to entity-centric modeling, data vaults, or alternatives to traditional dimensional models.

Role offers:

• Investment in the infrastructure needed to be supported and successful.
• Opportunity to work on products that have a positive impact on millions of people’s lives.
• A sustainable pace with work/life balance.
• Competitive pay and meaningful opportunities for career advancement.
• Company paid medical, dental, and vision insurance and a generous paid parental leave policy.
• Perks for physical, mental and emotional health, parenting, childcare, and financial planning.