Manager/Sr. Manager - Supply Chain Analytics (CPG/Retail)

Tiger Analytics; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A consulting firm based in Canada, Ontario, Toronto, is seeking a seasoned professional to lead supply chain analytics and oversee offshore teams. The ideal candidate brings extensive experience in business and data analytics, particularly in Retail or CPG, while demonstrating exceptional stakeholder management and team leadership skills. Proficiency in Python and SQL, along with expertise in statistical methods and machine learning, are critical for excelling in this unique position offering significant career growth opportunities.

Qualifications

• 8–14 years of professional experience, with at least 5+ years in business/data analytics.
• Experience in Retail or CPG domain is mandatory.
• Strong foundation in statistical methods and machine learning.

Responsibilities

• Lead and manage offshore teams delivering supply chain analytics.
• Engage with senior client stakeholders to understand business context.
• Develop and maintain predictive and prescriptive models.

Skills

Business/Data Analytics

Stakeholder Management

Team Leadership

Python

SQL

Machine Learning

Supply Chain

Data Visualization

Project Management

Statistical Methods

Tools

Power BI

Git

PySpark

Hadoop

Microsoft Azure

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

The ideal candidate will bring a blend of hands‑on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.

Responsibilities

• Lead and manage offshore teams delivering supply chain analytics and data migration initiatives
• Act as a bridge between business stakeholders and technical teams to ensure alignment on goals and deliverables
• Engage with senior client stakeholders (Director/VP level) to understand business context and define analytics solution approaches
• Break down complex problems into structured tasks across business analysis, data science, and engineering
• Guide and mentor teams of business analysts and data professionals to deliver high‑impact solutions
• Architect and design scalable data analytics frameworks and solutions
• Apply advanced analytics techniques (Machine Learning, AI, Optimization, Operations Research) to solve business problems
• Develop and maintain predictive and prescriptive models in enterprise production environments
• Build and deploy simulation, optimization, and scenario planning tools for decision support
• Work with large datasets to extract, transform, and structure data using SQL and related tools
• Drive cross‑functional collaboration to deliver innovative, data‑driven solutions
• Ensure data quality, validation, and governance standards are maintained
• Translate complex analytical outputs into clear, actionable insights for business stakeholders

Qualifications

• 8–14 years of professional experience, with at least 5+ years in business/data analytics
• Mandatory experience in Retail or CPG domain
• Strong Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
• Demonstrated ability to effectively engage and influence executive and VP‑level stakeholders
• Strong project and team leadership skills, with experience driving end‑to‑end delivery across global, cross‑functional teams
• Strong foundation in statistical methods and machine learning, with the ability to analyze complex datasets and generate actionable insights
• Proven ability to structure ambiguous business problems into clear, data‑driven analytical frameworks
• Strong hands‑on expertise in Python and SQL
• Experience with data visualization tools such as Power BI
• Proficient in version control (Git), with exposure to big data technologies (PySpark, Hadoop ecosystem – HDFS, Hive) and cloud platforms such as Microsoft Azure is a plus.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast‑growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.