Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights. You'll partner with stakeholders across Finance, Revenue Ops, Marketing, and Product to deliver the analytics foundation the business runs on. If you are someone who enjoys building data pipelines that power real business decisions and want to design canonical models that unify fragmented source systems across multiple CRMs, ERPs, and product platforms, then this role is for you. You can sit down with Finance to talk revenue recognition or with Product to map activation funnels, and walk away with a clear data model in your head. You hold a high bar on quality, push back constructively when it matters, and don't wait to be handed a well-defined problem. Design and build the data models that power the business: financial reporting (GTV, MRR, revenue recognition), GTM analytics, and product and operational insights Design for scale and maintainability while staying pragmatic, shipping incremental value, gathering feedback, and iterating as you go Turn ambiguous business requirements from Finance, Revenue Ops, Marketing, and Product teams into well-scoped technical solutions with effort estimates Collaborate across our Hub & Spoke architecture, partnering with upstream data owner teams, downstream Looker/LookML developers, and other domain pods (Retail, Hospo, Operations) to design models that work end-to-end Treat documentation as a first-class deliverable: column descriptions, model contracts, and architectural notes that power both human reviewers and AI/LLM-assisted workflows Own pipeline health end-to-end: monitor proactively, lead incident response,



and surface risks before they become delivery problems Autonomously manage personal sprint commitments and contribute to team-level planning, including task breakdown, effort estimation, and priority sequencing Mentor junior engineers through coaching, code reviews, and technical sessions, and set the bar for what good looks like Expert-level SQL: query performance, clean, maintainable code, and advanced analytical techniques (e.g. window functions) Proven experience designing enterprise-grade dimensional models on modern cloud data warehouses such as BigQuery or Snowflake, including partitioning, incremental patterns, and performance optimization Hands-on experience modelling SaaS / CRM / ERP source systems such as Salesforce or NetSuite, with a clear understanding of how their object models translate into clean dimensional schemas You communicate effectively with technical and non-technical stakeholders, clarifying needs, surfacing tradeoffs, and driving alignment GDPR, SOX, and data access controls are part of the job, not an afterthought As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. Some additional things that would be a bonus : GitHub Actions): automated testing, linting,



and deployment workflows Python or JavaScript for data engineering tooling Familiarity with data contracts for pipeline validation Experience using AI/LLM-assisted tooling to accelerate development workflows: code generation, documentation, debugging, or review Real ownership: you'll own canonical data models that leadership relies on, with the autonomy to design them properly and the influence to evolve team standards High-quality peers who care about craft, code reviews that make you better, and time to do things the right way A growing Data Office at a publicly traded company headquartered in Montreal A flexible work environment that empowers you to do your best work A culture that celebrates performance Adaptable paid time off and remote work policies Equity options, because this is your company too Contributions to your pension plan. Training opportunities to grow your skills and career Time off to volunteer and give back to your community Interest groups, employee-led networks, social committees to sponsored sports teams Computer purchase program to get your personal MacBook Enhanced parental leave to support growing families Lightspeed equity scheme (we are all owners) Unlimited paid time off policy Health insurance: Immediate access to health, dental, vision, and life insurance for you and your eligible dependents. Mental health online platform and counselling & coaching services A variety of snacks, coffee, and teas are always accessible and available in the office kitchen
- Tuesday: Lunch is served, and Thursday is Happy Hour with a variety of drinks and snacks. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities. Please note that we ask applicants to disclose any criminal co

📌 Senior Analytics Engineer (Montreal)
🏢 Lightspeed POS
📍 Montreal