Data Analyst, Float
Business Intelligence
+ Equity options
Corporate cards and smart spend management software
Be an early applicant
Corporate cards and smart spend management software
101-200 employees
Be an early applicant
+ Equity options
101-200 employees
Company mission
To simplify spending so companies and teams can focus on growing their business.
Role
Who you are
- 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
- 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
What the job involves
- 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'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
- What Success Looks Like
- 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
Our take
Traditional finance and internal expense processes are inefficient for companies, with spending on personal credit cards and filing receipts for reimbursement becoming an increasingly convoluted business practise. There needs to be a digital alternative to the historically laborious process of managing employee expenses.
Float is a fintech solution, built to simplify the inefficient internal expense processes. Rather than following the traditional method of spending on personal/corporate cards, filing expenses, and waiting for reimbursement - Float works by utilising technology that enables managers to allocate funds and approve expenses before purchases are made. The company also supports companies operating with remote workforces.
As the business world moves to become more international, companies will look to make their business spending as simple as possible. Float aims to develop its technology and cater to the challenge of company spending. Its $70 million series D funding will go some way to achieving its aims, all whilst expanding its business significantly.
Steph
Company Specialist at Welcome to the Jungle
Insights
55% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2025
$50.1m
SERIES B
Nov 2021
$26.5m
SERIES A
Total funding: $82.1m
Company benefits
- Competitive coverage of medical, dental and vision insurance for employees
- Education & learning stipend for personal growth and development
- Flexible vacation time
- Work from home stipend to help you succeed in a remote environment
Company HQ
Fashion District, Toronto, ON
Leadership
Rob Khazzam
(Co-Founder & CEO)Previously worked at Uber for 5 years in international expansion and General Management in Eastern Europe and Canada. Prior to this they worked at a market private equity fund in Toronto.
Griffin Keglevich
(Co-Founder)Previous Chief Engineer at Float, responsible for shipping and payments, previously worked in software engineering at KPMG and Shopify.
Ruslan Nikolaev
(Co-Founder)Previous experience at WATonomous and then Uber as a Perception Engineer and at Shopify as a Data Scientist.
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