Analytics Engineer
CurbWaste•New York, NY
•$150,000 - $175,000•Hybrid
About The Position
CurbWaste is seeking an Analytics Engineer to establish their data and analytics function. This foundational role involves building data infrastructure using tools like Snowflake and Sigma, partnering with business teams to deliver essential metrics and dashboards, and preparing data for future AI-powered features. The position requires a self-starter who can identify needs, build solutions, and take ownership in a fast-paced, high-growth environment. The ideal candidate will thrive with autonomy and have a holistic approach to data utilization.
Requirements
- 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).
- 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 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 ($150k–$175k)
- Flexible time off
- Ample opportunities for learning and development
- Company-paid medical, dental, and vision coverage
- 401(k)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
