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Analytics Engineer

Remote Posted Jul 24, 2026 0 views

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Job description

CurbWasteJobs
Analytics Engineer

Analytics Engineer

Posted 2 Days Ago
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
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The Company
HQ: New York NY
50 Employees

What We Do

A software for haulers by haulers

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