Senior Data Analyst

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 toprated startups in 2024 and 2023, Float is customer-obsessed, passionate, and entrepreneurial, with a team that includes leaders from Uber, Shopify, Top Hat, TouchBistro, and Ada.

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 Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 4,000 Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts, and fast, friendly support-all built in Canada for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs, Alternatives, and OMERS Ventures, partners behind our $70 million Series B raise.

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. We're looking for bold innovators to help shape the future of business finance in Canada.

About the Senior Data Analyst role:

We are seeking a Senior Data Analyst to join our team and help build and develop the foundations for the data analytics practice at Float. You will play a critical role in establishing and scaling our data processes and business intelligence systems. This position requires a deep understanding of data analysis, a strong technical background, and experience working with modern data tools. In addition to contributing directly to our data vision and roadmap, you will have the opportunity to help shape the future team that will keep driving this vision forward.

As a Senior Data Analyst at Float, you will:

• Collaborate with cross-functional teams to identify impactful milestones in a customer's journey and analyze their impact on customer outcomes.
• Design, build, and maintain robust dashboards and reports in Metabase for internal stakeholders.
• Develop and optimize queries to support data analysis and reporting.
• Uncover insights and areas of opportunity within our business for Float and our customers.
• Lead the implementation of scalable reporting and KPI monitoring to support decision-making and strategy development.
• Work closely with data scientists, data engineers, business teams, and product teams to ensure data quality, integrity, and alignment with business needs.
• Identify opportunities to improve data processes, drive automation, and optimize performance.

A few must-have experiences:

• 5 years of experience in data analysis, ideally in a product-focused environment.
• Proficient in SQL for querying large datasets, developing complex queries, and optimizing database performance.
• Experience with A/B testing, hypothesis testing, and statistical analysis to evaluate product and feature impact.
• Expertise in building and maintaining dashboards and reports, particularly in Metabase or other BI tools (Tableau, Looker, Power BI, Google Sheets).
• Familiarity with advanced analytics tools like Python, R, or similar for data manipulation and statistical analysis.
• Strong analytical thinking capable of digging deep into business problems to uncover hidden insights and opportunities.
• Strong understanding of business strategy and terminology.
• Experience in storytelling with data to senior management.
• Exceptional communication and interpersonal skills.

You'll be great in this role if:

• You are an owner, love challenges, and take satisfaction in tackling them head-on.
• You can explain complex problems simply and effectively communicate findings to stakeholders of varying technical backgrounds.
• You possess solid technical skills in development, data technologies, analytics, and engineering.
• You understand the business context and how your role supports the company's vision and strategy.
• You are adaptable to a fast-paced environment and open to change.
• You have a strategic mindset, balancing immediate needs with future planning.
• You can prioritize effectively and manage multiple responsibilities.
• You are eager to learn continuously and engage in healthy debates about the product and data insights.

This role won't be a fit if:

• You lack attention to detail or are not open to a hybrid (Toronto-based) role.
• You are not a self-starter or dislike working independently.
• You are uncomfortable with ambiguity or change.
• You struggle to translate technical jargon into simple language.
• You lack patience for iterative work or prefer detailed task lists.
• You do not enjoy learning new things or managing stakeholder relationships.
• You do not appreciate regular feedback on your work.

Don't meet every requirement? If you're excited about this role and align with our values, we encourage you to apply. You might be the right candidate for this or future positions.

Benefits & Perks:

• Flexible time off
• Catered lunches on Tuesdays & Wednesdays
• A personal Float card with quarterly stipends and a Home Office stipend
• Autonomy to make an impact
• Opportunity to work with a world-class team
• Contribute to building Canada's best modern financial institution

We are committed to an inclusive workplace. If you need accommodations during the hiring process or once you join, please contact Vic. We will work with you to ensure you have what you need to succeed.

Required Experience:
Senior IC

Key Skills:
Databases, Data Analytics, Microsoft Access, SQL, Power BI, R, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type:
Full-Time

Department / Functional Area:
Engineering

Experience:
Years

Vacancy:
1