Analytics Engineer
Core
Architecting data models and scalable data assets for Customer Operations to drive logistics, billing, retention, and supply chain efficiency.
Role type
Senior Analytics Engineer (Customer Operations)
Builds
Scalable data models, operational dashboards, and self-serve analytics platforms for logistics, billing, and retention strategies.
Domain
Payments infrastructure, in-person commerce, supply chain, and customer operations.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (large/complex datasets), Analytics Engineering (dbt), Data Visualization, Stakeholder Management, Data Governance, Observability, Agile Methodologies
Preferred skills
Cloud Data Warehouses (BigQuery, Snowflake), Python (automation/dbt), Data Orchestration (Airflow), Version Control (GitHub)
Technologies
BigQuery, dbt, Looker, LookML, Salesforce, GCP, Fivetran, AirByte, Airflow, Monte Carlo
Responsibilities
Shape data organization direction by adopting best-in-class tools; Identify opportunities to improve decision-making and deliver scalable data solutions; Develop understanding of customer journey to act as trusted advisor to operational teams; Support and shape operational KPIs for call centres and supply chain; Deliver hands-on data products using BigQuery, dbt, and Looker; Collaborate with technical and non-technical stakeholders across Finance, Supply Chain, and Support.
Seniority
Senior, hands-on IC
