Trolley
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer at Trolley. Skills: Data Engineering, Analytics, AI. Extract and Load data. Transform data for enabling others”
Industry & Context.
Spot opportunities
What They're Looking For.
Must Have
End-to-end management of data pipelines, Excellent communication of data related topics, SQL Skills, Experience with version control systems, Experience using techniques that enable team code ownership
Nice to Have
Databricks experience, Snowflake experience, Sigma Computing experience, Cloud Services (AWS, GCP) experience, Spark experience, Performance Logging and Monitoring experience
What You'll Do.
Extract and Load data
Transform data for enabling others
Apply AI to business problems
Experiment with new AI approaches
Help others unlock value from AI
Scale the Data Pipeline
and security trade-offs
Design and develop reports
Enable business operations and reporting
Own and lead Data Initiatives
Collaborate with Engineering team for best practices
Improve technical management of Data Pipelines
Mature business-wide analysis acumen
Perform ROI Analysis on Trolley’s Key Initiatives
How You'll Work.
Team & Collaboration
Internal and external stakeholders; Engineering team
Communication Scope
Data related topics
Full Job Description
Analytics Engineer Trolley is growing quickly and we are hiring for a full-time Analytics Engineer to join our team. Hybrid role based in our Montreal, Toronto, or Halifax office. About us: Trolley is the payouts platform for the internet economy. Our vision is to unlock the collective economic opportunity of the internet – for everyone – by building a truly global payouts ecosystem. Through our powerful platform and API, Trolley enables businesses to reach people from all corners of the world and offer creators, on-demand workers, and suppliers the ability to bring their specialized talents to a global market. Businesses use Trolley to automate and manage payouts, collect recipient tax and banking information, and mitigate fraud and risk. It is the go-to payouts solution for hundreds of businesses like Canva, Soundcloud, and Envato, ensuring creators, artists, and suppliers get paid efficiently. Trolley has processed millions of payments, supporting musicians, artists, makers, vendors, and suppliers worldwide. Trolley is seeking a self-driven, analytical individual to join our team as an Analytics Engineer. Reporting to the Senior Manager, Analytics, this role manages the end-to-end data pipeline. You will be responsible for empowering data informed decisions throughout the Trolley team, our Merchants, and Recipients. The ideal candidate will have experience with the toolset required (ELT, Warehousing, BI, etc) and have driven healthy data cultures across organizations. Responsibilities: Extract and Load through any means possible. Connectors, API, CSV, and more. Transform data for enabling others to query and service themselves with ever-expanding use-cases. Be fluent in modern AI tools and look for ways to apply them to real business problems. Champion AI adoption across the organization, spot opportunities, experiment with new approaches, and help others unlock value from AI. Scale the Data Pipeline to manage costs, speeds, and security trade-offs. Collaborate w
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