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

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Level

Mid L4

Location

Denver, CO

Occupation

Business Intelligence Analysts

Industry

Consumer Lending

Posted

yesterday

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