Analytics Engineer
CurbWaste
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $150,000 per year
Job Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftBigQueryCloudSQL
About the role
- 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.
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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingdata preparationAImachine learningdata analysisreportingdashboard creationdata quality standardsperformance optimization
Soft skills
communicationresourcefulnessself-directionproactivitycross-functional collaborationgritproblem-solvingadaptabilityinsight deliverystakeholder engagement