Job Opportunities API

About Us CurbWaste 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 $50M raised and the backing of top-tier investors, we serve over 150 customers who rely on CurbWaste’s all-in-one solution to power their operations. But we’re just getting started. Our ambition is to become the system of record for the waste industry and support the people who keep our cities running. At CurbWaste, we hold a high bar. We 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 Resourcefulness over resources Win as a team, learn as a team Do the 1% more We’re building something meaningful — and we’re looking for big thinkers and humble warriors to join us. About the Role 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 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. Requirements What 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 Deep SQL expertise — you 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, BigQuery, Redshift, or similar) Significant experience with dbt. You should have strong opinions about how to architect data pipelines 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 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 Benefits Location This role is based in New York City (3 days/week minimum in office). What We Offer This 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 o