Data Analyst

at  Bold Commerce

WHO IS BOLD COMMERCE?

Bold Commerce powers personalized checkout experiences for leading omnichannel retailers and direct-to-consumer brands.
As a leader in the composable commerce space, Bold makes checkout better, boosting profitability by enabling personalized, customer-specific checkout flows designed to increase the Checkout Power Trio of conversion, AOV, and LTV - not just conversion. Built with a composable & headless architecture, Bold Checkout fits with any commerce stack, making it easy to overcome platform limitations. Leading omnichannel retailers like Harry Rosen and Staples Canada trust their business with Bold Checkout.
Named one of Built In Austin’s Best Places to Work, Canada’s Top Employers for Young People, and Manitoba’s Top Employers, we’re a dynamic team that truly cares about building the future of ecommerce. We live by the BUILDERS Code, a shared set of practices, beliefs, and values that help shape this remote-first company.
Founded in 2012, with team members (Builders) located throughout Canada and the U.S., and backed by investors like OMERS Ventures, WhiteCap Venture Partners, and Round13 Capital, Bold is leading the way to a better, composable ecommerce future.

ABOUT THE ROLE

Bold Commerce is looking for a Data Analyst to leverage analytical skills in generating performance-enhancing insights and actionable information across the business. In this role, you will develop and maintain metrics that support key objectives and collaborate cross-functionally to provide data insights that drive business improvements.

WHAT YOU’LL DO

• Understand business processes and translate stakeholder requirements into data needs, writing queries for Finance, Sales, Marketing, HR, and Product departments.
• Deliver accurate data and reports to stakeholders, building visualizations and maintaining financial data in Looker for various departments.
• Collaborate with leaders to develop business metrics, providing insights to improve cost/performance and answering research questions for key business decisions.
• Automate tasks, streamline reporting processes, and conduct data-warehouse analysis to deliver advanced insights.
• Optimize performance and cost through data analysis, managing data projects, providing accurate forecasting, and documenting reports and metrics.
• Train and support Looker users, ensuring the effective use of data tools and practices.