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Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!
Lightspeed is a forward-thinking company dedicated to driving innovation in the hospitality industry through data. We leverage data insights to support strategic decisions and enhance our product offerings. As a Data Analyst 2, you will bring your expertise to an expanding team within the Hospitality unit’s product department. This team acts as a strategic data partner, working closely with diverse product squads to provide expert insights and data-driven solutions that inform development decisions and optimize product performance. As a key player in shaping Lightspeed’s future, you’ll play an integral role in building actionable data expertise within our forward-looking organization.

WHO WE ARE:

Powering the businesses that are the backbone of the global economy, Lightspeed’s one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.
Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.
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• COLLABORATE WITH CROSS-FUNCTIONAL TEAMS:Partner with Product Managers, Developers, Designers, and other stakeholders to understand their data needs, delivering tailored, strategic data solutions. Clearly communicate complex data insights to both technical and non-technical audiences, ensuring alignment across teams.
• LEAD ADVANCED DATA ANALYSIS:Perform and lead complex analyses, such as segmentation, customer health assessments, and impact measurements of development initiatives, guiding product direction and business decisions.
• DEVELOP DATA WAREHOUSE SOLUTIONS:Create, maintain, and test scalable data warehouse solutions using Python to ensure data integrity and reliability. Implement automated testing frameworks and leverage CI/CD pipelines to proactively identify opportunities for continuous improvement in data infrastructure.
• DYNAMODB DATA EXTRACTION AND VISUALIZATION:Script advanced interactions with DynamoDB to extract data and develop real-time visualizations that provide critical business insights.
• DASHBOARD AND REPORT DEVELOPMENT:Build, optimize, and innovate dashboards using tools like Heap and BigQuery to visualize key performance indicators (KPIs) and inform data-driven decisions.
• MENTORSHIP:Mentor and guide data analysts, fostering a collaborative, growth-oriented environment while exemplifying technical expertise and effective problem-solving.
• INNOVATIVE PROBLEM-SOLVING:Take ownership of complex data challenges, proactively supporting Product teams with data-driven insights that empower informed decision-making.
• GENERATE BUSINESS INSIGHTS:Translate complex data sets into actionable business insights, helping teams understand product performance through behavioral analysis and key metrics.
• CUSTOMER DATA PLATFORM MANAGEMENT:Optimize the data flow through platforms like Segment to ensure effective use of customer data in product development and customer success strategies.