Analytics Engineer in FinTech Data Science team ensuring data accuracy and usability. Transforming raw data into reliable models for business monitoring and insights.
About the role
- 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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