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

Company shown to members 🔒 · Remote · Canada only

Canada only8+ years requiredPublished 15 September 2026Check carefully

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First recorded by Psst: 14 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
8+ years required
Where you can live
Canada only
Skills and tools
sql, python, power bi, machine learning, stakeholder management
Job type
Full-time

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Job details

Where you can work
Canada
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
8+ years required
Employer publication date
15 September 2026
First recorded by Psst
14 October 2026
Last checked at the source
10 November 2026

About the job

The company 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

Requirements

  • 8–14 years of professional experience, with at least 5+ years in business/data analytics
  • Mandatory experience in Retail or CPG domain
  • Strong Ecommerce Merchandising Strategy , 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

•

Benefits

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.

The company 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.

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