Analytics Engineer Financial Services

Analytics Engineer roles at Lightspeed use SQL, Python, and data modeling to support Financial Services across Canada. Choose remote, hybrid, or office-based work.

As part of the FS Data team, you will oversee analytic and reporting needs across Financial Services. You will transform data, build pipelines, maintain models, and deliver predictive and historical insights. Collaboration spans Application Engineering, Product, Operations, Risk, and Finance.

Key Responsibilities:

• Cleanse raw data into business logic for reports and models
• Build pipelines with the Central Data Team
• Champion data quality, usability, and documentation
• Write maintainable queries and scripts using version control
• Automate model testing and data validations

Requirements:

• Experience with SQL and Python coding
• Experience with BigQuery or MPP data warehouses
• Experience with dbt or dataform
• Knowledge of GCP, containerization, and data orchestration
• English fluency and strong stakeholder communication skills

Apply analytics engineering expertise in SQL, Python, pipelines, and modeling to strengthen Lightspeed Financial Services data.