Analytics Engineer

CurbWaste • New York, NY

4d • $120,000 - $150,000 • Hybrid

About The Position

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 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

• 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)
• 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 Haves

• 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

Responsibilities

• 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

Benefits

• Competitive salary ($120k–$150k), flexible time off, and ample opportunities for learning and development.
• Company-paid medical, dental, and vision coverage, plus 401k.
• Be part of a diverse, inclusive, and supportive culture where individuality is celebrated.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees