Data Analyst, Product (Banking and Payments)
Data & Analytics
WFA Digital Insight
As the demand for skilled data analysts in the fintech space continues to grow, Float stands out with its innovative approach to business finance in Canada. With a 34% increase in demand for data specialists in 2025, candidates with expertise in financial data analysis and experimentation design are in high demand. Float's commitment to using AI to drive business decisions and its culture of feedback and ownership make it an attractive employer in the remote job market. Before applying, candidates should be aware of the high level of complexity and stakes involved in this role and be prepared to bring their unique perspective to the team.
Job Description
About the Role
The Data Analyst, Product role at Float is a critical position that involves working closely with the product teams to analyze financial data and design experiments to inform business decisions. As a key member of the team, you will be responsible for defining what needs to be measured, designing measurement frameworks, and analyzing experiments to drive product development. You will be working on high-complexity and high-stakes projects, including banking infrastructure and payments, and will be expected to use AI to drive business decisions. Float is a customer-obsessed company that is passionate about simplifying finance for Canadian businesses. The company's mission is to empower businesses to eliminate complexity and unlock new opportunities, and the Data Analyst, Product role is a crucial part of achieving this mission. The successful candidate will be reporting to the Head of Data and will be working closely with the product teams to drive business decisions.What You Will Do
- Define what needs to be measured before features ship and support the instrumentation to measure it
- Design and get broad alignment on measurement frameworks before features go to engineering
- Design and analyze experiments to inform business decisions
- Structure A/B tests for product changes and define the hypothesis, select the right unit of randomization, size the experiment for sufficient power, and interpret results
- Use AI to drive business decisions and improve product development
- Collaborate with the product teams to design and implement new features and products
- Analyze financial data to identify trends and opportunities for growth
- Develop and maintain dashboards and reports to track key metrics and performance indicators
- Provide data-driven insights to inform business decisions and drive product development
- Stay up-to-date with industry trends and developments in data analysis and AI
What We Are Looking For
- 3+ years of experience in data analysis and experimentation design
- Strong knowledge of financial data analysis and modeling
- Experience with AI and machine learning technologies
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work in a fast-paced environment and prioritize multiple tasks and projects
- Strong understanding of business finance and banking infrastructure
- Experience with data visualization and dashboard development
- Strong knowledge of statistical analysis and experimentation design
Nice to Have
- Experience with programming languages such as Python or R
- Knowledge of cloud-based data platforms and tools
- Experience with agile development methodologies
- Certification in data analysis or a related field
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a fast-growing and innovative company
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Access to cutting-edge technologies and tools
- Flexible work arrangements and remote work options
- Comprehensive health and wellness benefits
- Generous paid time off and vacation policy
How to Stand Out
- To stand out in this role, make sure to highlight your experience with financial data analysis and experimentation design. Provide specific examples of how you have used data to drive business decisions in previous roles.
- Be prepared to talk about your experience with AI and machine learning technologies, and how you have used them to improve product development.
- Make sure to research the company and its mission, and be prepared to discuss how your skills and experience align with the company's goals.
- Be prepared to provide examples of your analytical and problem-solving skills, and how you have applied them in previous roles.
- Consider creating a portfolio of your work, including examples of dashboards and reports you have developed, and any other relevant projects or initiatives you have led.
- Don't be afraid to ask questions during the interview process, and be prepared to discuss your career goals and how they align with the company's mission.
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