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

5 months, 4 weeks ago
Canada
Full-time
Lead
Data Analyst
Data Science and Analytics
Apache Spark Azure Git Hadoop HDFS Hive Machine Learning Power BI Python SQL
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Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 71

Description

  • Lead and manage offshore teams delivering supply chain analytics and data migration initiatives.
  • Act as a bridge between business stakeholders and technical teams to align goals, priorities, and deliverables.
  • Engage senior client stakeholders at Director and VP level to understand business context and define solution approaches.
  • Break down complex business problems into structured workstreams across business analysis, data science, and engineering.
  • Guide and mentor business analysts and data professionals to deliver high-impact solutions.
  • Architect and design scalable data analytics frameworks and solutions.
  • Apply advanced analytics methods such as machine learning, AI, optimization, and operations research to business problems.
  • Develop and maintain predictive and prescriptive models in enterprise production environments.
  • Build simulation, optimization, and scenario planning tools to support decision-making.
  • Ensure data quality, validation, and governance standards are maintained while translating analytical outputs into actionable insights.

Requirements

  • 8–14 years of professional experience, including at least 5+ years in business or data analytics.
  • Mandatory experience in the Retail or CPG domain.
  • Strong supply chain background with exposure to demand planning, supply planning, shipping, and inventory management.
  • Demonstrated ability to 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.
  • Proven ability to structure ambiguous business problems into clear, data-driven analytical frameworks.
  • Hands-on expertise in Python and SQL.
  • Experience with data visualization tools such as Power BI.
  • Proficiency in version control with Git; exposure to PySpark, the Hadoop ecosystem (HDFS, Hive), and Microsoft Azure is a plus.

Benefits

  • Significant career development opportunities as the company continues to grow.
  • Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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