Analytics Engineer

Posted Yesterday
Be an Early Applicant
New York, NY, USA
In-Office
150K-175K Annually
Senior level
Software
The Role
Build and own the data warehouse, analytics, and self-serve BI; define metrics and data models; prepare datasets for ML/AI features; partner cross-functionally to deliver dashboards, ensure data quality, and document systems as the companys first analytics hire.
Summary Generated by Built In
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.


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

BenefitsLocation

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 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.
Our Mission

We aim to change the way waste companies run their business. We’re a software company founded by haulers and built for haulers. We care about the environment and want to play a positive role in the future of the waste industry. Software helps create solutions, and we are focused on being the leaders in change.

At CurbWaste, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. 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.

Skills Required

  • Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Economics, Engineering, or similar)
  • Deep SQL expertise (complex queries, performance optimization, data modeling)
  • Hands-on experience with modern BI tools
  • Sigma experience
  • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar)
  • Significant experience with dbt and data pipeline architecture
  • Strong communicator able to translate data for non-technical stakeholders
  • Self-directed, proactive, and able to work autonomously in ambiguous environments
  • Demonstrated grit and resourcefulness in high-growth settings
  • Programming ability for data manipulation or automation (Python, JavaScript)
  • 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
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
50 Employees

What We Do

A software for haulers by haulers

Similar Jobs

New York Life Insurance Company Logo New York Life Insurance Company

Analytics Engineer

Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Hybrid
New York, NY, USA
12000 Employees
124K-177K Annually

Spot & Tango Logo Spot & Tango

Analytics Engineer

eCommerce • Food • Pet • Manufacturing
Hybrid
New York, NY, USA
150 Employees

SambaSafety Logo SambaSafety

Senior Business Intelligence Engineer

Insurance • Logistics • Software • Transportation • Business Intelligence
Remote or Hybrid
United States
300 Employees
100K-130K Annually

Hightouch Logo Hightouch

Analytics Engineer

Big Data • Information Technology • Software • Database • Analytics
Remote or Hybrid
3 Locations
370 Employees
100K-160K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account