Lightspeed

Technology

SeniorAnalyst,DataOperations&Analytics

CA$95–135k ~AI est. Montreal, Quebec, Canada FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

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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