About the RoleWe're looking for an
Analytics Engineer to build our data and analytics function from the ground up. This is a foundational role - you'll be one of the first three people dedicated to turning CurbWaste's data into actionable insights across operations, finance, and product.
You'll work closely with engineering to shape our data infrastructure (Snowflake, Sigma, and beyond), partner with business teams to deliver the metrics and dashboards they need, and play a key role in preparing data for AI-powered features on our 2026 roadmap. This isn't a role where you wait for tickets; you'll identify what matters, build it, and own it.
If you're someone who thrives with autonomy, thinks end to end, and wants to shape how a growing company uses data, this is for you.
RequirementsWhat You'll Do- Build and own dashboards, reports, and self-serve analytics that drive decisions across the company
- Partner with engineering to design and implement our data warehouse and BI stack
- Define key metrics and data models for operational and financial performance
- Prepare and structure datasets that power AI and machine learning initiatives
- Work cross-functionally with product, ops, finance, and engineering to understand needs and deliver insights
- Establish data quality standards and documentation as the foundation for a future data team
About The Ideal Candidate- Bachelor's or master's degree in a quantitative field (Computer Science, Statistics, Economics, Engineering, or similar), with strong academic performance
- 4+ years of experience with the modern data stack: a cloud data warehouse (Snowflake, BigQuery, Redshift), a transformation layer or an orchestrator (dbt, Airflow, Prefect), and a modern BI tool (Looker, Sigma, Hex, Metabase). You should have strong opinions about how to architect data pipelines
- Deep SQL expertise. You can write complex queries, optimize performance, and model data cleanly
- Demonstrated grit and resourcefulness. You thrive in high-growth, fast-moving, and often ambiguous environments
- Strong communicator who can translate data into clear recommendations for non-technical stakeholders
- Self-directed and proactive. You don't wait to be told what to build
- Mission-driven attitude. You care about helping customers win and making a real impact
Nice to Have- Some programming ability (Python, JavaScript) for data manipulation or automation
- Exposure to the waste, logistics, or industrial sectors
- Experience preparing data for machine learning or analytics-driven product features
- Background in both operational and financial analytics
BenefitsLocationThis role is based in New York City (3 days/week minimum in office).
What We OfferThis is an opportunity to make a real impact in a critical industry.
- Join a high-performing, mission-driven team transforming a critical industry.
- Competitive salary ($150k-$175k), flexible time off, and ample opportunities for learning and development.
- Company-paid medical, dental, and vision coverage, plus 401(k).
- Be part of a diverse, inclusive, and supportive culture where individuality is celebrated.
