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Business Insights & Analytics Manager

OSL Retail Services
Mississauga, CAN
Full-time
Mid-Senior
Onsite
CAD 100,000–CAD 110,000,
Discovered 3 weeks ago
Business analytics and insightsData analysisSQLStatistical analysisForecastingPredictive analytics

Full Job Posting

Role overview

Leads the evolution of analytics capabilities in retail and direct sales, translating complex business questions and data into recommendations and measurable outcomes.

Partners with business leaders and guides an analytics team while advancing advanced analytics and AI adoption.

Analytics leadership

  • Lead an analytics agenda aligned to business priorities and strategic objectives.
  • Guide analysis of trends, drivers, opportunities, risks, and actionable insights beyond descriptive reporting.
  • Set quality standards and ensure analysis explains implications and recommended actions.
  • Identify applications for forecasting, statistical analysis, predictive analytics, segmentation, and machine learning.

Business partnership and AI

  • Partner with senior leaders to identify questions analytics can address and influence decisions with insights.
  • Lead adoption of generative AI, AI-powered analytics, and emerging technologies to improve analytical work.
  • Collaborate across Marketing, Sales, Operations, Finance, BI, Data, and Technology.
  • Oversee dashboards and reporting, ensuring underlying data is reliable, scalable, and appropriately governed.

Team leadership

  • Lead, coach, and develop Business Analytics & Insights Analysts and build their analytical, business, and communication capabilities.

Qualifications

  • Bachelor’s degree or equivalent in a related field such as analytics, data science, computer science, statistics, mathematics, finance, economics, business, or management information systems.
  • 7+ years of experience in analytics, business intelligence, data science, or a related analytical discipline; retail or data-driven experience is preferred.
  • Strong experience in data analysis, SQL, statistical analysis, forecasting, predictive analytics, and/or advanced analytical techniques.
  • Experience with platforms such as SQL, Python, Domo, Power BI, Tableau, R, or similar; familiarity with machine learning and AI analytics is an asset.
  • Strong business acumen, strategic thinking, people leadership, coaching, communication, presentation, and stakeholder management skills.
  • Ability to challenge assumptions, navigate ambiguity, and drive analytical initiatives through to business impact.

Compensation

  • Salary is CAD 100,000–CAD 110,000, with an eligible yearly 10% bonus.

Benefits

  • Benefits include three weeks of vacation, medical, dental and vision coverage, a health spending account, RRSP matching, and employee development programs.

Interview process

  • The interview process includes a recruiter conversation, a virtual or in-person hiring manager interview, and an in-person interview with the hiring manager and extended team.
  • Successful completion of a criminal background check is required.

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