Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Analytics Engineer role.
Rezi rewrites your resume against Modal's job description. Free.
Tailor your resume to this Analytics Engineer role.
Rezi rewrites your resume against Modal's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Analytics Engineer posting at Modal — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Analytics Engineer posting at Modal — free, in seconds.
About the Role
We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work.
Responsibilities
- Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting
- Influence work on new products like LLM Inference Endpoints through product analytics tracking
- Identify millions of dollars of cost savings and optimization across our tools and financial operations
- Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp
- Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns
Requirements
- SQL fluency
- Python proficiency
- Professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, Posthog
- Ability to extend their work beyond just data reporting and into action and impact
- High attention to detail
- Excellent and precise communicator
- Strong personability and relationship building skills
Skills
- Snowflake
- dbt
- dlt
- Modal
- Hex
- Posthog
- AI products
- LLM inference
- Sandboxes
- Fin ops
- Fraud
- Sales ops
- Risk
- Token cost optimization
- Project management
- Data community engagement
About the Company
- AI needs a new infrastructure layer. We're building it at Modal.
- Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
- We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
- Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.