Senior​/Product Analyst

Hi there! Thanks for stopping by. We’re looking for a Senior Product Analyst to join our Financial Services team in Canada. This role sits at the intersection of Product Analytics, Decision Science, and Product Strategy. You will partner closely with Product, Engineering, and business leadership to help shape the future of Capital through data‑driven decision making.

For Capital to succeed, many of our most important product and business decisions depend on balancing complex trade‑offs across pricing, conversion, offer volume, losses, and profitability. In many ways, data‑driven decision making is the product itself.

We’re looking for someone who can operate as a strategic thought partner, not simply answer predefined questions, but help determine:

• What problems we should solve, and the right way to design and implement solutions
• Defining and measuring success across product, merchant, and business outcomes
• Optimizing for both merchant success and business performance, balancing growth, risk, and operational tradeoffs

• Partner with Product and Engineering leaders to influence product strategy through deep analytical insights and decision frameworks
• Lead ambiguous and high‑impact analytical initiatives end‑to‑end, from problem definition through recommendation and implementation
• Build analytical models and frameworks that optimize trade‑offs across risk, pricing, conversion, profitability, and customer outcomes
• Design and evaluate experiments, including pricing and conversion optimization initiatives
• Translate complex business problems into structured analytical approaches and measurable success criteria
• Identify product opportunities, operational inefficiencies, and strategic insights through deep analysis of large‑scale transactional and product datasets
• Deliver executive‑level recommendations and influence roadmap decisions using data
• Collaborate cross‑functionally with Product, Engineering, Finance, and GTM teams to operationalize data‑informed decisions

We’re looking for a senior, highly analytical candidate who is comfortable operating in ambiguity and influencing decisions at both the strategic and operational level.

• Advanced SQL and strong analytical skills working with large‑scale product or transactional datasets
• Python for analytics, experimentation, statistical analysis, or modeling
• Product analytics, experimentation, and decision science methodologies
• Building analytical frameworks that drive business and product decisions
• Leading cross‑functional analytical initiatives independently
• Translating ambiguous business questions into structured analysis and actionable recommendations
• Strong communication and stakeholder management skills, with the ability to influence Product and Engineering teams
• Data visualization and storytelling experience using tools such as Looker, Tableau, or similar BI platforms
• Experience working within product organizations at technology or fintech companies

• Experience in fintech, lending, payments, or risk‑related domains
• Experience in Data Science, predictive modeling, or optimization problems

You’ll enjoy:

• A flexible work environment that empowers you to do your best work
• A culture that celebrates performance
• The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard
• Career‑defining opportunities

Plus benefits designed to keep you happy, healthy and fulfilled:

• Flexible paid time off and remote work policies
• Equity options, because this is your company too
• Contributions to your pension plan. Your future matters
• Training opportunities to grow your skills and career
• Health and wellness credit so you feel your best
• 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

At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation…