Data Analyst, Business Intelligence

Float•Toronto, ON

1d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Familiarity with Snowflake or a similar cloud warehouse is a plus
Python experience is a plus, particularly for automation or analysis outside of SQL

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
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