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Data Analyst
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- $75,000 to $125,000 CAD / year
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Borrowell

Data Analyst

Remote, Canada

Remote

$75,000 to $125,000 CAD / year · Full-time

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Job details

Pay: $75,000 to $125,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 4, 2026

Original job description

About 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

Data Modeling & Infrastructure: Build, maintain, and optimize data models daily using SQL and dbt to ensure a robust, high-quality data infrastructure.
Reporting & Forecasting: Deliver business reporting, forecasting, and actionable insights to guide business decisions, leveraging Looker (or similar BI tools).
End-to-End Experimentation: Design, analyze, and validate statistical experiments to support product and business initiatives.
Data Proficiency: Write clean, efficient SQL queries using joins, aggregates, subqueries, and window functions to query and structure complex datasets.
Stakeholder Communication: Partner cross-functionally to translate complex analytics into clear, actionable business recommendations for both technical and non-technical audiences.

Nice to Have

Undergraduate (or higher) degree in a quantitative field (Mathematics, Science, Eng, or Social Sciences).
Basic knowledge of Python (numpy, pandas, statsmodels, matplotlib, seaborn) or R (tidyverse: dplyr, data.table, ggplot2...etc.)
Proven experience interpreting data and translating analytical results into impactful business strategies.

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. While this role is remote, we are currently only able to hire candidates physically located in Ontario, BC, or Alberta.

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.

This posting represents a current and active vacancy within our organization.

The budgeted annual salary range for this role is $75,000 – $125,000 CAD. Starting pay is determined by the candidate's relevant experience and skills. In addition to base salary, this role is eligible for Borrowell’s full benefits package.

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More about this job

Responsibilities

The Data Analyst will build and optimize data models while delivering actionable insights and forecasting to support product and business initiatives. They will act as a data thought partner to Product Managers, translating complex analytics into clear recommendations for cross-functional teams.

Requirements

Candidates should possess strong proficiency in SQL and experience with BI tools like Looker to manage data infrastructure and reporting. While not mandatory, a degree in a quantitative field and knowledge of Python or R are considered beneficial assets.

Skills

SQL
Dbt
Looker
Data modeling
Data infrastructure
Statistical experimentation
Forecasting
Business reporting
Data analysis
Python
R
Stakeholder communication
Product analytics
Data visualization

Benefits

Medical insurance
Dental insurance
Vision insurance
Paramedical health benefits
Mental health support
Maternity and parental leave top-up
Work from home reimbursement
Employee development benefit
Paid volunteer day
Flexible working hours
Flexible vacation policy

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
SQL
Dbt
Looker
Data Modeling
Forecasting
Experimentation
Business Intelligence
Python
R
Product Analytics
Data Infrastructure
Quantitative Analysis
Cross-functional Collaboration
Financial Technology
Credit Monitoring
KPI Monitoring
Data Visualization
Statistical Analysis
Numpy
Pandas
Tidyverse
Ggplot2
Data Strategy
Product Development

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