Analytics Engineer

About Spreedly

Spreedly is the world's leading Open Payments Platform, processing over $50 billion of GMV annually. Our Payments Orchestration platform optimizes digital transactions with the most complete payment services marketplace. Built on PCI-compliant architecture, our Advanced Vault solution combines modern features with rule-based configurations for stored payment methods. Global enterprises and hyper-growth companies accelerate their digital business by leveraging our platform, securing card data in our vault and optimizing over $45 billion in annual transaction volumes with any payment service.

Our vision is to foster a diversified, inclusive payment ecosystem, and our mission is to accelerate commerce with an open, secure, and flexible payment platform that welcomes all payment participants. Our culture thrives on autonomy, transparency, and collaboration within a dynamic, high-growth organization.

Product Offering

Spreedly provides an open payments platform with key products and services including:

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

About the Analytics Engineer Role

The Analytics Engineer at Spreedly will bridge the gap between business teams, Data Engineering, and Business Intelligence, responsible for creating robust, efficient, and integrated data models. This role requires someone who can effectively communicate with both business and technical teams, translating data insights and analytical needs into models powered by Spreedly’s data pipeline and platform.

This position demands a blend of business acumen and technical expertise, transitioning between strategic business needs and data development. You will work alongside self-starters passionate about solving real-world problems and streamlining our internal capacity to simplify a complex environment with billions of data points.

We are excited to grow our team in Montreal, Quebec. While this is not a hybrid or in-office role, we are looking for someone who calls Montreal home.

Responsibilities

• Collaborate and Advise: Partner with business teams and stakeholders to gather requirements, define analytics outcomes, and build foundational data models and dashboards. Serve as a data modeling and visualization expert, delivering high-impact dashboards built on scalable data models.
• Develop and Maintain Data Models: Design, develop, and maintain scalable dbt models to advance our data maturity. Ensure a single source of truth, keep data sources current with evolving requirements, and maintain our data dictionary.
• Ensure Quality and Governance: Write SQL that adheres to internal standards for structure and quality. Maintain these standards through code reviews and peer-reviewing database and data model schema changes.
• Empower Stakeholders: Encourage internal adoption and self-sufficiency of stakeholders in Tableau through comprehensive documentation, targeted training, and organized dashboard structures.

Requirements

• 3+ years of proven experience in the data space as an analyst or analytics engineer.
• 3+ years designing and implementing commercial enterprise dimensional models and working with large-scale (1B+ rows) cloud data warehouses.
• Hands-on experience building, testing, and maintaining data models in dbt.
• Expertise with SQL, including advanced techniques (e.g., window functions, common table expressions, UDFs, etc.) for data investigation and analysis.
• Experience with data visualization in Tableau.
• Solid project management skills, including planning work, managing details, and navigating ambiguity to deliver results with cross-functional stakeholders.
• Enthusiasm for conducting reproducible analysis, including code reviews, version control, and robust documentation.

Additional Skills We Value

• Familiarity with Snowflake.
• Experience with Fivetran.
• Background in a B2B SaaS or fintech environment.
• Experience supporting RevOps or GTM analytics, including sales funnel and marketing performance reporting.

Canadian Employee Benefits

For our Canada-based employees, we offer:

• Competitive salary + Equity.
• Group Life Insurance and Disability Coverage.
• Medical, Vision, and Dental coverage.
• Pension contribution.
• Open Paid Time Off policy.
• Monthly home working/digital lifestyle stipend, new MacBook, and one-time accessory reimbursement.
• $1,000 professional development stipend.
• Access to company-paid professional coaching service.
• Visits to HQ in Durham, North Carolina for remote employees.

Spreedly champions the ethical, creative use of AI. If you integrate human judgment with modern AI tools to work smarter and drive greater impact, you will thrive here.

Spreedly is an equal opportunity employer committed to fostering diversity, equity, inclusion, and belonging. We actively work to eliminate unintentional discrimination in hiring through practices like blindly graded work samples, structured interviews, and diversity awareness training.

Finalist candidates for the Analytics Engineer role must complete a successful background and reference check due to the sensitive nature of handling payment data. Spreedly is unable to provide employment sponsorship at this time and cannot support remote employees residing in New York. Applicants must be legally authorized to work in Canada and not require future sponsorship.

We appreciate your interest. Due to high application volume, we may only respond to candidates who are a potential fit. We may use AI tools to support parts of the hiring process; however, final decisions are always made by humans. Contact us for more information on data processing.

Key skills/competency

• Data Modeling
• dbt
• SQL
• Tableau
• Cloud Data Warehouses
• Data Governance
• Project Management
• Business Intelligence
• Fintech Analytics
• Version Control