Float
Data Analyst, Business Intelligence
Toronto, Canada · Exec
Sponsorship not specifiedDetected 40 days ago
PythonSQLSnowflakedbtData VisualizationLLMsShopifyLeadershipCommunicationCollaboration
About the role
- 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.
- 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.
Responsibilities
- 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
- 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
- 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.
- 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.
- This isn't a support queue role - it's a strategic BI function.
- 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
- 2-4+ years of experience as a BI or business analyst, ideally at a high-growth fintech or SaaS company
- Deep experience in a BI tool (Metabase, Looker, Tableau, or Sigma) - you've owned a BI environment.
- prior dbt experience is not necessary but ability to contribute to dbt project is expected
- you know where they're useful and where they need guardrails
Nice to have
- 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
Compensation
- 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.
This listing is sourced directly from Float's careers page and normalized into a canonical job model.