Data Analyst, Product (Banking and Payments)

About Float

Float is on a mission to simplify finance for Canadian businesses empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform Float enables businesses to streamline financial operations and optimize cash flow so they can focus on what matters most: growth.

As one of Canadas fastest growing companies and top-rated startups in 2025 2024 and 2023 Float is customer-obsessed passionate and entrepreneurial with a team that includes leaders from Uber Stripe Shopify Top Hat Ada Doordash Snowflake and Wealthsimple.

At Float everyone is an owner bringing their unique perspective to our team and product. Your voice is important and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success.

Our Product

Float is Canadas intelligent financial operating system combining modern financial services and software to help businesses spend save and grow. Trusted by more than 7500 Canadian companies Float provides high-limit corporate cards automated expense management next-day bill payments high-yield accounts and industry-leading support all built in Canada for Canada. Float recently announced our $85 million Series C and is backed by world-class investors including Inovia Capital Growth Equity at Goldman Sachs Alternatives OMERS Ventures and Silicon Valley Bank.

Our team is a collection of ambitious collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And were looking for bold innovators to help shape the future of business finance in Canada.

AI Use in Our Hiring Process

We use technology including artificial intelligence (AI) to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications and AI-generated interview notes guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team.

About the Role

Float is building the financial operating system for Canadian businesses corporate cards business bank accounts bill payments all in one place. 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. This role owns that data layer. Youre building cohorts before anyone asks designing measurement frameworks before features go to engineering and debugging numbers to the source pipeline issue definition mismatch or real product signal.

Youre also someone who uses AI to move faster without losing rigour. Getting useful outputs from a model means knowing the business and data well enough to give it the right context thats part of the job too.

What Youll Be Doing

• Define what needs to be measured before features ship and support the instrumentation to measure it. You translate roadmap decisions into measurement requirements.

• 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.

• Run cohort and retention analysis natively activation sequences behavioral funnels leading vs. lagging indicators. Diagnose which lever moves the number not just what happened.

• Debug ambiguous numbers to the source pipeline issue definition mismatch or real product signal. You close the loop.

• Write expert SQL and bring statistical rigour cohort construction retention calculations confidence intervals significance testing. You know when you have enough signal to act.

• Use AI as a multiplier accelerate analysis generate first-pass SQL and pressure-test hypotheses faster than you could alone. You know how to give a model the business and data context that makes its outputs impactful.

• Take your share of ad-hoc requests on rotation owning your product area gives the broader data team meaningful breathing room.

What Success Looks Like

• 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 youve built the infrastructure that makes the question answerable.

What Were Looking For

• Product analytics depth youve been embedded in a product team own activation funnels and cohort retention natively and know how to instrument a feature before it ships.

• Experimentation and measurement design you design A/B tests and quasi-experiments from the ground up: hypothesis randomization unit sample size and power calculations guardrail metrics and holdout design. You build pre/post and diff-in-diff analyses where randomization isnt feasible and you know how to communicate the difference in confidence between the two

• Data layer ownership youre the DRI for data quality in your product area: auditing dbt models writing briefs for analytics engineering and debugging ambiguous numbers to the source.

• Expert-level SQL you build complex multi-step queries across large behavioral datasets optimize for performance and explain the logic to non-technical stakeholders.

• Statistical reasoning you understand distributions confidence intervals significance testing and sample size constraints. You design for confounders know when you have enough signal and communicate uncertainty in plain language.

• Data modeling literacy you translate business logic into data requirements specify the grain a table needs and have informed opinions on how metrics get structured in dbt.

• Comfort with imperfect data you make a reasoned call state your confidence level and give stakeholders something actionable rather than waiting for clean infrastructure.

• Stakeholder fluency you work effectively across Product Design Engineering and Product Marketing and hold your ground respectfully when data contradicts what the team wants to believe.

• AI as an accelerator youve used LLMs to write SQL draft frameworks or structure analysis and you know where theyre reliable and where they need guardrails.

• 24 years in product analytics ideally embedded in a product team at a high-growth fintech or SaaS company.

• BI tool experience Metabase Looker Tableau Sigma or similar.

• dbt-comfortable (reading models understanding lineage) with Snowflake or a comparable cloud warehouse.

• Fintech familiarity attach rate payment rails KYC AP workflows pre-authorized payments balance/deposit metrics churn dynamics is a meaningful differentiator.

Our Hiring Philosophy

We hire for character curiosity and learning velocity before credentials. Titles matter less than impact and every hire is expected to raise the bar for Float as a whole.

Why You Should Join

• Work at one of Canadas fastest-growing fintech companies

• Make a real impact in a high-autonomy high-growth role

• Collaborate with an ambitious and supportive team

• Competitive compensation equity options and benefits

• Hybrid work model we are based in Toronto with in-office days for connection and collaboration

• Enjoy catered team lunches every Tuesday Wednesday and Thursday

• Bring your pup to our dog-friendly office

• Thrive in a high-trust high-performance culture where your work truly matters

In Short

At Float youll thrive if youre bold curious and eager to make a real impact. Were building something specialand having a lot of fun along the way. If youre excited to build grow and win together wed love to meet you.

Were committed to building a workplace thats welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float just let us know! You can reach out to Vic () and well work with you to make sure you have what you need to succeed.

Required Experience:

IC