AI & Analytics Engineer I at Finning tasked with developing data models and AI agents. Collaborating with senior engineers and supporting Analytics Engineering initiatives.
About the role
- Founding Staff Analytics Engineer for Lime's new product vertical, Lime for Business. Designing and leading the analytics architecture for employee transportation solutions in a mission-driven company.
Responsibilities
- Own the Analytics Architecture
- Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer.
- Translate complex business concepts (e.g., employer subsidies, commuter utilization, B2B revenue recognition, trip profitability) into scalable, well-tested data models.
- Establish modeling standards using dbt to ensure consistency, reusability, and performance.
- Partner Cross-Functionally
- Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products.
- Serve as a thought partner on metric definitions, experimentation design, and KPI tracking.
- Identify opportunities to improve existing data infrastructure and proactively drive implementation of better solutions.
- Drive Analytics Engineering Excellence
- Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt.
- Define best practices for SQL style, modular modeling, CI/CD workflows, and automated data testing.
- Ensure high standards of documentation, observability, and auditability across all data assets.
- Strengthen Data Governance & Quality
- Implement automated data validation and monitoring frameworks.
- Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness.
- Maintain integrity and reliability of business-critical metrics.
Requirements
- 7+ years of experience in analytics engineering, data warehousing, or data architecture roles.
- Deep expertise with Snowflake, dbt, and Airflow in production environments.
- Strong experience designing scalable data models and semantic layers for business reporting.
- Proven track record leading large technical domains and setting architectural direction.
- Strong SQL skills and experience implementing automated data testing and CI/CD workflows.
- Demonstrated ability to influence cross-functional stakeholders, including Director/VP-level partners.
- Comfortable operating in fast-paced, ambiguous environments with a high degree of ownership and autonomy.
Benefits
- Offers Equity
- Offers Bonus
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