Float
Data Analyst, Product (Banking and Payments)
Toronto, Canada
Sponsorship not specifiedDetected 41 days ago
RailsSQLSnowflakedbtData VisualizationLLMsA/B TestingAuditingShopifyLeadershipCommunicationCollaboration
About the role
- Reporting to the Head of Data, this role is embedded inside the product teams behind two of those core pillars: banking infrastructure and payments.
- Both are high-complexity, high-stakes areas that generate a dense mix of financial, behavioral, and operational data.
- You're also someone who uses AI to move faster without losing rigour.
Responsibilities
- Define what needs to be measured before features ship and support the instrumentation to measure it.
- Design and get broad alignment on measurement frameworks before features go to engineering - hypothesis, cohorts, success criteria.
- Design and analyze experiments - structure A/B tests for product changes. Define the hypothesis, select the right unit of randomization, size the experiment for sufficient power and interpret results with statistical rigour
- Own the metrics and dashboards for Banking and Payments. Every number is traceable to a reliable dbt model. You keep them accurate.
- Own data quality in your product area - audit dbt models, write clear briefs for analytics engineering, flag gaps before they become problems.
- Get Embedded: Both team leads treat you as the owner of their data layer. KPI definitions are agreed upon, documented, and tied to reliable dbt models. Gaps are flagged with a fix in motion.
- Build the Measurement Layer: Features ship with measurement frameworks designed upfront. Dashboards for the core banking and payments metrics are clean, trusted, and traceable.
- Drive Product Evidence: Product decisions are shaped by your analysis before they are made. When a team lead is asked by leadership whether a feature is landing, they already know - because you've built the infrastructure that makes the question answerable.
- Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth.
- We use technology, including artificial intelligence (AI), to support parts of our hiring process.
Requirements
- Comfort with imperfect data - you make a reasoned call, state your confidence level, and give stakeholders something actionable rather than waiting for clean infrastructure.
- AI as an accelerator - you've used LLMs to write SQL, draft frameworks, or structure analysis, and you know where they're reliable and where they need guardrails.
- 2-4+ years in product analytics, ideally embedded in a product team at a high-growth fintech or SaaS company.
- You know when you have enough signal to act.
- You know how to give a model the business and data context that makes its outputs impactful.
Skills
- Features ship with measurement frameworks designed upfront.
- Dashboards for the core banking and payments metrics are clean, trusted, and traceable.
Compensation
- Competitive compensation, equity options, and benefits
Benefits
- Competitive compensation, equity options, and benefits
Company info
- And we're looking for bold innovators to help shape the future of business finance in Canada.
- Hybrid work model - we are based in Toronto with in-office days for connection and collaboration
This listing is sourced directly from Float's careers page and normalized into a canonical job model.