Data Analyst, Business Intelligence

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 Canada’s 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.

Float is Canada’s intelligent financial operating system, combining modern financial services and software to help businesses spend, save, and grow. Trusted by more than 7,500 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 we’re looking for bold innovators to help shape the future of business finance in Canada.

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.

Float runs on data — and this role exists to make sure the business can see itself clearly.

As our Data Analyst, Business Intelligence, you'll be the connective tissue between our data infrastructure and the decisions that leadership, Finance, RevOps, and GTM teams make every day. This isn't a support queue role — it's a strategic BI function. You'll own our reporting layer: designing, building, and governing the dashboards, metrics, and self-serve tools that let Float's teams move faster and with more confidence.

You'll sit on the data team and work in close partnership with our Analytics Engineer, translating business questions into durable data products — not one-off answers. Where the analytics engineer builds the models and the pipelines, you build the intelligence layer on top: the dashboards, the metrics definitions, the reporting cadences, and the frameworks that turn clean data into business clarity.

You're also someone who is curious and treats AI as a genuine part of how you work — using it to move faster, build more, and stretch the bounds of what a data team can actually do.

You'll report to the Head of Data and partner closely with Finance, RevOps, GTM, Sales, and the Chief of Staff.

• Design, build, and maintain Float's core dashboards and reporting infrastructure — audit for quality, assign ownership, archive stale content, and set the standard for what good looks like

• Work closely with the Analytics Engineer to translate business requirements into data models — write clear specs, validate outputs, and drive metric definition alignment across stakeholders before anything gets built

• Use AI as a force multiplier — not just for drafting SQL, but for building self-serve tooling, scaling analysis and making BI more accessible to non-technical stakeholders. You bring the business context that makes AI outputs actually useful, and you know where the guardrails need to go.

• Define and maintain Float's authoritative metrics library — what they measure, how they're calculated, and who owns them; surface and resolve discrepancies when Finance and RevOps aren't working from the same number

• Partner with the Chief of Staff and Head of Data on QBRs, board prep, and performance reporting; turn leadership questions into clean analysis, and run exploratory deep dives to answer specific questions

• Build a self-serve BI environment that reduces dependence on the data team — verified dashboards, documented metrics, and Metabase collections that Finance, Ops, Support, and Sales can navigate without filing a ticket

• Flag data model gaps and quality issues to the analytics engineer; help prioritize infrastructure work based on business impact

• Land and Stabilize: BI and metric governance has a clear DRI — existing dashboards have been audited for accuracy and relevance, every key metric and report has a named owner, and outdated content has been archived.

• Build the Infrastructure: The BI environment is structured and trustworthy — dashboards are verified, collections are logically organized, and AI has been used to build or scale something the team couldn't have done with headcount alone.

• Enable the Flywheel: Self-serve is meaningfully better and ad-hoc request volume reflects it. Leadership is making faster decisions because they have someone who understands both the data and the business context.

• 2–4+ years of experience as a BI or business analyst, ideally at a high-growth fintech or SaaS company

• Strong SQL — CTEs, window functions, aggregations; you write clean queries and can explain them to a non-technical stakeholder

• Deep experience in a BI tool (Metabase, Looker, Tableau, or Sigma) — you've owned a BI environment.

• Comfortable reading dbt models and understanding data lineage; prior dbt experience is not necessary but ability to contribute to dbt project is expected

• Comfortable using AI tools as an accelerator — LLMs for SQL drafting, documentation, or structuring analysis; you know where they're useful and where they need guardrails

• Structured thinker who turns ambiguous questions into clear analytical frames — and doesn't wait to be handed one. You spot what's worth investigating and drive it yourself.

• Strong written communication — your analysis only lands if the narrative does

• Proactive and collaborative — you share context before being asked and work with the analytics engineer, not around them

• Genuinely curious about the business, not just the data

• Experience supporting a senior audiences is a strong plus

• Familiarity with Snowflake or a similar cloud warehouse is a plus

• Python experience is a plus, particularly for automation or analysis outside of SQL

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.

• Work at one of Canada's 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

At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you.

We’re committed to building a workplace that’s 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 ([email protected]), and we’ll work with you to make sure you have what you need to succeed.