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Standardized Job Template
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Analyticsmart

Director, Business Intelligence & Category Management

Toronto, ON, Canada

Job type: Full-time
Apply by: Mar 28, 2027
Experience: 8–12+ years of progressive experience in business intelligence, category management, merchandising analytics, or a related field
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

About Analyticsmart Consulting Inc

Analyticsmart is a boutique analytics firm specializing in the Consumer-Packaged Goods (CPG) industry across Canada and the United States. Our mission is to transform data into meaningful, measurable, and actionable insights that drive growth and profitability for businesses.

We empower our clients with innovative software solutions, including:

Merchandising App

Planogram Repository

Category Management

Data Visualization

By leveraging cutting-edge technology, we optimize business decision-making and operational efficiency, helping brands gain a competitive advantage in the market.

Founded in 2009, Analyticsmart has built long-lasting partnerships with global brands and retailers. With offices in Toronto, Montreal, and New York City, we are a financially prudent, bootstrapped company focused on strategic growth in larger markets.

What Sets Us Apart?

Expansive bonus structure

Fantastic office locations in Liberty Village (Toronto), Old Town Montreal, and NYC

Innovative and fun work environment

A mix of small clients and global brands

A company that truly values partnership, collaboration, and dedication

Position Summary

Analyticsmart is looking for a hands-on leader to oversee our Business Intelligence and Category Management teams. You will lead analysts and data engineers, manage key client relationships, and contribute directly to important projects.

This role suits someone who enjoys developing people and setting direction while remaining close to the work. You should be comfortable moving between a client strategy discussion, a data delivery issue, and a category insight presentation.

Key Responsibilities

Lead the team

Manage, coach, and develop BI analysts, category analysts, and data engineers.

Set priorities, assign work, review deliverables, and keep projects on schedule.

Build consistent standards for analysis, data quality, reporting, and client presentations.

Help hire and onboard team members as the department grows.

Deliver client work

Lead BI and category management engagements from discovery through delivery.

Work directly on complex analyses, dashboards, data projects, and category recommendations when your expertise is needed.

Translate retailer and CPG data into clear, practical actions for clients.

Oversee data pipelines and reporting solutions, working with the team to resolve technical or data quality issues.

Ensure recommendations are commercially useful and presentations are ready for senior client audiences.

Own client relationships

Serve as a senior point of contact for assigned clients.

Understand each client’s goals, manage expectations, and communicate progress and risks clearly.

Present insights and recommendations to client leadership.

Identify opportunities to expand existing engagements based on client needs and the value our team can deliver.

What you bring

Significant experience in business intelligence, retail analytics, category management, or a closely related field.

Experience leading analysts and technical team members while remaining hands-on with delivery.

Strong knowledge of CPG and retail data, category performance, assortment, space planning, or merchandising.

Experience building or overseeing dashboards and reporting solutions in Power BI, Tableau, or similar tools.

Enough technical depth to guide data engineers on data integration, modelling, and quality, even if you are not writing every pipeline yourself.

Strong project management skills and the ability to balance several clients and deadlines.

Confidence presenting findings and recommendations to senior stakeholders.

A practical, accountable leadership style: you can make decisions, remove obstacles, and help the team produce excellent work.

•Experience supporting both retailers and CPG brands.

Required Qualifications

8–12+ years of progressive experience in business intelligence, category management, merchandising analytics, or a related field

3–5+ years in a leadership role managing analysts, category managers, or BI teams

Proven experience in retail, CPG, e-commerce, or wholesale/distribution (industry-specific depending on the company)

Track record of leading category strategy that drove measurable revenue, margin, or market share growth

Experience partnering with senior/executive leadership and presenting to C-suite or the board

Apply About employer

More about this job

Responsibilities

Lead and develop BI analysts, category analysts, and data engineers while overseeing client engagements, analytics delivery, data pipelines, and reporting quality. Manage senior client relationships, present actionable insights and category recommendations, and identify opportunities to expand client work.

Requirements

Requires 8–12+ years of relevant experience, including 3–5+ years leading analytics or BI teams, with experience in retail, CPG, e-commerce, or wholesale/distribution. Candidates should have strong retail and CPG analytics expertise, dashboard and data project experience, a record of measurable category strategy results, and confidence presenting to senior executives.

Skills

Business Intelligence
Category Management
Team Leadership
Retail Analytics
CPG Data Analysis
Dashboard Development
Power BI
Tableau
Data Integration
Data Modeling
Data Quality
Project Management
Category Strategy
Assortment Planning
Executive Presentations

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Category Management
Consumer-Packaged Goods
Retail Analytics
Merchandising
Category Strategy
Assortment
Space Planning
Power BI
Tableau
Dashboards
Reporting Solutions
Data Pipelines
Data Integration
Data Modeling
Data Quality
Data Visualization
CRM
Planogram Repository
Retailer Data
E-Commerce
Wholesale
Distribution
Project Management
Revenue Growth
Margin Growth
Market Share Growth
Executive Presentations

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