Analytics Engineer at CurbWaste building data infrastructure and delivering actionable insights across the company. Shaping the data strategy for operations, finance, and product teams.
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.
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.
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