Canada onlyAbout Borrowell:
At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively.
1 in 10 Canadians use Borrowell for comprehensive credit monitoring and personalized insights. Our innovative services, including Credit Builder and rent reporting, help consumers build credit so they can unlock access to a wider range of financial products at more competitive rates. Additionally, we offer personalized financial product recommendations from Canada’s most trusted providers based on each member’s credit profile and financial goals.
Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money.
About this role:
As a Data Analyst you will be a key member of Borrowell’s Data Analytics Team. Your role will be pivotal in informing new marketing and product initiatives and powering the recommendations we personalize to each of our 3+ million members.
You'll provide a window into business performance and help to make recommendations on what we build next. You can expect to be responsible for creating and managing insights, experimentations, forecasting, and reporting for various business partners at Borrowell. You’ll monitor existing key performance indicators, explore new areas of data to drive business growth and product development, and make company data accessible, insightful and actionable to the different business divisions.
This role specifically focuses on being a data thought partner to a designated Product Manager and related cross-functional Product pod (in-house folks in engineering, devops, QA, mobile, and more).
Key Responsibilities
- Execute end-to-end analytical projects, from defining the right metrics to delivering clear, actionable insights, to address key business challenges and support data-driven decision-making across multiple teams.
- Perform deep-dive analyses aggregating data from multiple sources, utilizing advanced SQL and statistical techniques to uncover trends and identify root causes.
- Design, implement, and analyze A/B tests and other experiments, ensuring statistical rigor and accurately calculating impact to inform product decisions while collaborating with product and engineering teams to define success metrics and establish testing methodologies.
- Collaborate across functions to identify data analytics problems and execute solutions with data-driven insights
- Translate product requirements into clear and actionable data tasks
- Build, maintain, and enhance interactive dashboards and reports using our analytics platform (Looker) to democratize data and allow stakeholders to self-serve insights.
Requirements
- 3+ yrs working experience in a Data Analyst or similar quantitative role with proficiency in SQL (e.g., complex joins, window functions, query optimization) to extract, transform, and analyze large datasets to solve complex business problems.
- Excellent communication skills, use data to tell a comprehensive story that is clear and tailored for both technical and non-technical audiences.
- Proven experience with analytics and data transformation tools such as Looker, Tableau, DBT or similar (we use Looker)
- Familiarity with data warehousing concepts and data modeling principles
- Experience with A/B testing design, execution, and statistical interpretation.
- Strong statistical knowledge (e.g., hypothesis testing, confidence intervals) and proven ability to apply these concepts in a business context.
Nice to Have
- Undergraduate (or higher) degree in a quantitative field
- Knowledge of Python, R, or Airflow
- Exposure to product-based tech startups
Benefits
- The Opportunity - join and have a major impact at a growing company that is helping Canadians feel confident about money.
- Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists
- Additional Health Benefits - virtual benefit offering that allows you to connect 24/7 with nurses, doctors and mental health professionals
- Maternity & Parental Leave Top-up - available to new parents
- WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you
- Employee Development Benefit - annual reimbursements on payments to help your learning
- Givewell Benefit - 1 paid volunteer day a year to give back to the community
- Flexibility - flexible working hours and a flexible vacation policy
We are remote-first across Canada with an office in Toronto. This role requires you to attend in-person meetings and team-building events.
At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position we’d still encourage you to apply. We’re looking for candidates who have experience but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress.
Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment.
By submitting your application you consent to Borrowell's use and processing of your personal information in connection with your job application at Borrowell and its recruitment processes.
Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.
