Role Overview
As an Analytics Engineer at Doodle, you will co-own the analytics layer that powers decisions across the company. You will turn raw product data into trusted, scalable datasets for experimentation, reporting, and product innovation.
What You Will Do
Your responsibilities will include modeling data, owning data quality, defining metrics, building a semantic layer, powering experimentation, measuring what matters, enabling self-service, and leading with AI.
Why It Might Be a Fit
You will thrive in this role if you combine strong analytics engineering fundamentals with a product and business mindset, and you’re honest about your strengths, gaps, and what you’re still learning.
Requirements
- Strong, hands-on experience building analytics data models with dbt or a similar transformation framework
- Advanced SQL skills and experience working with large analytical datasets
- Experience with cloud data warehouses such as Amazon Redshift
- Experience building dashboards and self-service reports in Power BI or similar BI tools
- Familiarity with experimentation frameworks and product analytics
- Hands-on experience with Claude or similar AI assistants, including setting up MCPs and using AI coding tools
- Ability to explain technical concepts to technical and non-technical people alike
Benefits
- Dental insurance
- Vision insurance
- Real Impact
- Technical Stretch
- Measurable Impact
- Modern Tooling
- Culture of Trust
To apply for this job please visit careers.doodle.com.
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