CurbWaste Logo

CurbWaste

Analytics Engineer

Posted 3 Days Ago
Hybrid
New York, NY
150K-175K Annually
Mid level
Hybrid
New York, NY
150K-175K Annually
Mid level
The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.
The summary above was generated by AI

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 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

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)
  • 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 not just a job, this is a career, it’s 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 401k.
  • 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.

Top Skills

JavaScript
Python
Sigma
Snowflake
SQL
HQ

CurbWaste New York, New York, USA Office

1460 Broadway, New York, NY, United States, 10036

Similar Jobs

6 Days Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The AV Safety Analytics Engineer will develop data analytics infrastructure for automated vehicle safety, utilizing cloud processing and statistical methods. Responsibilities include creating data visualizations, monitoring metrics, and ensuring data integrity across systems.
Top Skills: DockerGitJenkinsJIRAKubernetesNumpyPandasPlotly/DashPower BIPythonShinySQLTableauTerraform
10 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
180K-250K Annually
Senior level
180K-250K Annually
Senior level
Healthtech • Information Technology • Software • Telehealth
As a Staff Analytics Engineer, you'll lead the creation and maintenance of analytics solutions, developing data models and driving insights for decision-making across Zocdoc.
Top Skills: AmplitudeDagsterDbtLookerPythonSQL
14 Days Ago
Easy Apply
Hybrid
6 Locations
Easy Apply
138K-189K Annually
Senior level
138K-189K Annually
Senior level
Fintech • HR Tech
The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.
Top Skills: AirflowDbtETLGitHexLookerModePythonRedshiftSigmaSnowflakeSQLTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account