Top Analytics Jobs in Montreal

The Analyst translates complex business data into actionable insights for strategic and operational decisions. Responsibilities include structuring analyses, evaluating scenarios, developing executive scorecards and presentations, communicating data-driven recommendations, defining KPIs and OKRs, facilitating cross-functional execution, advising senior leaders, and mentoring analysts. The role requires advanced Excel and PowerPoint skills, strong analytical and communication abilities, and experience working in complex, cross-functional environments.

Advises business partners on analytical solutions, translates stakeholder needs into data and analytics requirements, guides roadmap development, ensures sound methodologies, supports modeling and tools, coaches team members, and evaluates emerging analytics and AI technologies. The role requires collaboration across global offices, financial and risk-management knowledge, and bilingual English-French communication.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, campaign reporting, experimentation, and lifecycle analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and generate actionable insights. Builds churn, retention, segmentation, and LTV models while evaluating paid acquisition and customer growth opportunities using SQL, Python, BI tools, marketing platforms, and modern AI-enabled workflows.

Own end-to-end analytics for a business area such as growth, product, AI, or partnerships. Define business questions and metrics, build reports, conduct analyses and experiments, generate actionable insights, and influence product, growth, finance, and operations decisions. The role requires independent data work, first-principles problem solving, clear communication, and ownership of ambiguous initiatives through execution.

Own end-to-end analytics for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; translate findings into recommendations; influence stakeholders; and drive execution toward measurable business outcomes. The role requires first-principles problem solving, strong communication, independent data work, and comfort with SQL or Python.

Lead analytics for international market expansion, establishing scalable measurement, reporting, dashboards, data models, and operational analytics frameworks. Identify growth and profitability opportunities, define metrics, analyze performance, design experiments, and translate findings into business recommendations. Partner cross-functionally with Product, Risk, Finance, Commercial, and Operations, lead metric reviews, influence leadership decisions, and mentor junior analysts.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads actuarial and data analysts delivering analytics, reporting, monitoring, and explainability solutions. Manages strategic initiatives, workloads, stakeholder relationships, and end-to-end analyses presented to executives and business partners. Provides people leadership through development planning, team engagement, and talent retention while applying SQL, Python, and R to develop innovative analytical solutions. Requires substantial relevant experience and General Insurance expertise.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, and segmentation. Partners with Marketing and Finance to establish performance goals and translate complex data into actionable recommendations. Automates reporting using analytics platforms, marketing automation tools, experimentation methods, and AI-enabled workflows while identifying opportunities to grow and retain high-value consumers.

Leads advanced data analysis, develops dashboards, KPIs, and analytical models, and translates business problems into data-driven solutions. Works with complex datasets using Databricks, SQL, Python, BI tools, and cloud data platforms. Partners with engineering and governance teams, promotes analytics standards, mentors analysts, and communicates insights to stakeholders. Supports strategic decisions through descriptive, predictive, and prescriptive analytics.

Own Affirm Canada's post-delinquency collections and recoveries strategy, including digital and outbound collections, agency placement, and post-charge-off recovery. Analyze performance, design experiments, quantify initiatives, manage vendor scorecards, and improve recovery outcomes. Partner with Product, Legal, and Compliance to ensure alignment with Canadian consumer protection, collections, and privacy regulations, while collaborating with international teams.

Leads the conversion rate optimization practice for Shopify ecommerce clients. Uses funnel, cohort, segmentation, statistical, and behavioral analysis to develop experimentation roadmaps, execute A/B and multivariate tests, and deliver revenue-focused recommendations. Owns GA4, Shopify, BigQuery, SQL, Looker dashboards, analytics integrity, reporting, ROI and growth modeling, personalization, and AI-enabled experimentation. Partners with UX, design, and development teams, presents findings to clients, oversees contractors, and manages multiple engagements.

Lead revenue analytics by developing business cases, dashboards, KPIs, experiments, and automated analytics solutions. Partner with Client Success, Marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and identify growth opportunities. The role requires translating structured and unstructured data into actionable insights, standardizing analytical workflows, and communicating recommendations to internal and external stakeholders.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

Manage multiple market research projects across their lifecycle, including scripting quality control, fieldwork coordination, data table and analysis planning, coding oversight, basic statistical analysis, and report development. The role requires strong organization, communication, critical thinking, attention to detail, bilingual English/French fluency, and proficiency with Microsoft Office. It is fully remote for candidates in the Greater Montreal Area, with periodic local in-person events.

Develop analytical solutions with business partners, assess stakeholder needs, guide the Data and Analytics roadmap, and provide expertise on analytical methodologies, tools, and modeling. The role supports data-driven decision-making across investment operations and requires financial modeling, investment and risk management knowledge, strong communication skills, and bilingual English-French proficiency.

Consult on data collection and analytics: gather client requirements, configure GA4/GTM (including server-side), build dashboards and automations, develop SQL/scripts, advise clients, train teams, and support sales estimations.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Perform hands-on product and player analytics across onboarding, retention, monetization, progression and LiveOps. Build and QA ETL pipelines in an AWS analytics stack, write cost- and performance-aware SQL, support A/B testing, and create reusable AI-enabled analytical workflows and notebooks to inform product, marketing, and LiveOps decisions.