Analytics Engineer

About Us

Curb Waste is a venture-backed, early-stage vertical SaaS company on a mission to modernize the waste and recycling industry — one of the most critical and underserved sectors in the world. Our customers are hard-working, no-frills operators running complex businesses with limited tools. We’re here to change that. With $50 M raised and the backing of top-tier investors, we serve over 150 customers who rely on Curb Waste’s all-in-one solution to power their operations.

Our ambition is to become the system of record for the waste industry and support the people who keep our cities running. At Curb Waste, we hold a high bar, believe in trust, ownership, and a relentless focus on delivering value. We challenge each other to grow every day and live by values that shape how we show up: serve our customers, serve our industry;

be infinitely curious; put resourcefulness over resources; win as a team, learn as a team; do the 1% more.

We'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 the first person dedicated to turning Curb Waste'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 thrive with autonomy, think end-to-end, and want to shape how a growing company uses data, this is for you.

• 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

• Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Economics, Engineering, or similar) with strong academic performance
• Deep SQL expertise — can write complex queries, optimize performance, and model data cleanly
• Hands‑on experience with modern BI tools;
  Sigma experience is a strong plus
• Familiarity with cloud data warehouses (Snowflake, Big Query, Redshift, or similar)
• Demonstrated grit and resourcefulness; thrives 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

• 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

• High‑performing, mission‑driven team transforming a critical industry
• Competitive salary ($120k–$150k), flexible time off, and ample learning and development opportunities
• Company‑paid medical, dental, and vision coverage, plus 401(k)
• Inclusive culture celebrating individuality

New York City (3 days/week minimum in office).

We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.