Lightspeed
Technology
SeniorAnalyst,DataOperations&Analytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analyst, Data Operations & Analytics at Lightspeed. Develop and maintain data pipelines. Build and optimize data models”
What You'll Achieve.
Improve data accessibility; Enhance data reliability; Drive business insights
Industry & Context.
Analytical thinking; Root cause analysis
What They're Looking For.
Must Have
SQL proficiency, 5+ years experience
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Perform complex data analysis
Create and manage BI dashboards
Collaborate with engineering teams
Ensure data quality and integrity
Support data-driven decision making
Troubleshoot data issues
Document data processes
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Communication Scope
Technical presentations; Data storytelling
Process & Methodology
Agile methodologies
Full Job Description
Purpose of the role: Facilitate teams across the company to make informed decisions based on data, rather than on intuition. Lead complex analytical projects with multi-level dependencies, diverse stakeholder base and unclear paths to solution. Please note: As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. Role: - Lead the process of gathering requirements and translating complex business problems into structured, scalable quantitative analyses. - Partner with functional departments to extract strategic insights from analytical outputs, shape high-impact business recommendations, and deliver them through compelling narratives and comprehensive visualizations. - Guide collaboration with stakeholders and team members to design accurate, scalable, and business-relevant datasets, reports, dashboards, and analyses for both operational and strategic initiatives. - Design robust data models using techniques such as Kimball/dimensional data modelling. - Oversee and optimize data reconciliation/manipulation processes, proactively identifying opportunities for automation, data quality improvement, and integrity/consistency checks. - Champion data governance by embedding best practices into workflows and mentoring stakeholders on discovering, accessing, and effectively leveraging data assets. - Play a key role in advancing internal event tracking and A/B testing systems through continuous improvement and innovation. - Develop predictive and classification models to support strategic initiatives across Product, Customer Success, and Marketing domains. - Mentor junior colleagues on best practices in analytical research, dashboard development, and data storytelling to ensure high-quality, impactful outputs. - Report to the Senior Manager, BI & Analytics. AND A LITTLE BIT OF.... - Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning mod
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