Senior Analytics Engineer

Recruiting From Scratch • San Francisco, CA

20h • $151,000 - $166,000 • Remote

About The Position

Thistle is hiring a Senior Analytics Engineer to help build and scale the company’s modern analytics foundation. This is a high-ownership role in a lean data organization, responsible for defining data models, strengthening infrastructure, and enabling trusted, self-serve analytics across the business. You’ll act as both a technical leader and strategic partner to Product, Marketing, Operations, Finance, and Leadership, shaping how data is defined, accessed, and used to drive decisions.

Requirements

• 5–8+ years of experience in analytics engineering, data engineering, or data architecture
• Advanced proficiency in SQL and strong experience with Python
• Hands-on experience building and maintaining dbt-based ELT pipelines
• Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• Strong data modeling and transformation skills
• Ability to collaborate cross-functionally and influence stakeholders
• High ownership mindset with comfort operating in a lean environment

Nice To Haves

• Experience in D2C, subscription, or consumer tech companies
• Familiarity with AWS and orchestration tools like Airflow
• Experience with data governance, quality frameworks, or performance tuning
• Prior mentorship or informal leadership experience
• Interest in health, sustainability, or food-tech

Responsibilities

• Own and evolve Thistle’s analytics infrastructure, ensuring scalable and reliable data models
• Design and maintain core ELT pipelines and source-of-truth datasets
• Partner cross-functionally to align on metrics, definitions, and data governance
• Optimize data warehouse performance, workflows, and query efficiency
• Champion best practices across the analytics stack (dbt, testing, documentation, version control)
• Enable self-serve analytics through high-quality datasets, dashboards, and exploration tools
• Serve as a technical thought partner to leaders, identifying opportunities where data can unlock business value
• Help raise the bar on analytics engineering standards and data culture

Benefits

• High ownership and autonomy in a small, collaborative team
• Strong bias toward execution and business impact
• Clear communication with technical and non-technical partners
• Commitment to work-life balance and sustainable pace
• Mission-driven, inclusive culture

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed