Analytics Engineer

About Us :

Spreedly is the world's leading Open Payments Platform, sitting at the center of a network processing more than $50b of GMV annually. Spreedly's Payments Orchestration platform enables and optimizes digital transactions with the world’s most complete payment services marketplace. Built on Spreedly’s PCI‑compliant architecture, our Advanced Vault solution combines a modern feature‑set with rule‑based configurations to optimize the vaulting experience for all stored payment methods. Global enterprises and hyper‑growth companies grow their digital business faster by relying on our payments platform. Hundreds of customers worldwide secure card data in our PCI‑compliant vault and use tokenized card data to enable and optimize over $45 billion of annual transaction volumes with any payment service.

Our vision is that the world is better with a diversified, inclusive payment ecosystem. Our mission is to accelerate commerce with an open, secure, and flexible payment platform that welcomes all payment participants. Our employees help us execute our vision by building a culture focused on autonomy, transparency, and collaboration in a dynamic, high‑growth organization.

Product Offering :

Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include :

• Payment Gateway Integration : Connects merchants, platforms, and marketplaces to multiple payment gateways and payment services.
• Tokenization : Securely stores and manages payment data with a universal tokenization service.
• Transaction Routing : Enables intelligent routing of transactions to optimize success rates and costs.
• Payment Vault : A secure storage solution for sensitive payment information.
• Fraud Tools Integration : Integrates with various fraud prevention tools to enhance transaction security.

About the Role :

The Analytics Engineer will sit at the crossroads of Spreedly's business teams, Data Engineering, and Business Intelligence and be responsible for bringing robust, efficient, and integrated data models to life. A successful candidate for this role can speak the language of business teams and technical teams, and is able to translate data insights and analysis needs into models powered by Spreedly’s data pipeline and platform.

This role will blend business acumen with technical expertise and transition between business strategy and data development, working alongside self‑starters interested in solving real‑world problems and in streamlining our internal capacity to simplify a complex environment with billions of data points.

We’re excited to grow our team in Montreal, Quebec! While this isn’t a hybrid or in‑office role, we’re looking for someone who calls Montreal home.

Responsibilities :

Requirements :

Additional Skills We Value :

We Offer Our Canada‑Based Employees :

We champion the ethical, creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact, you’ll thrive here.

Spreedly is an equal opportunity employer. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, inclusion, and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples, structured interviews, and diversity awareness training.

Due to the sensitive nature of what Spreedly does—handling payment data—finalist candidates must complete a successful background and reference check.

At this time Spreedly is unable to provide sponsorship for employment, and we are not set up to support remote employees who reside in New York. In order to be considered for employment, applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.

We appreciate your interest in our company. Because of the high volume of resume flow, we may only respond to those candidates that we think will be a potential fit.

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