Logistics Analytics & Automation Manager

The Clorox Company

Alpharetta, Northern (GA, KY)

Hybrid

USD 100,000 - 193,000

Full time

5 days ago
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Benefits offered by this job

Health plans
401(k) matching
Flexible time off
Fertility/adoption benefits
Hybrid work arrangement

Job summary

The Clorox Company in Alpharetta, GA is seeking a Logistics Business Insights Manager to lead data-driven decisions across our logistics network. You will translate complex data into actionable insights, build a future-ready analytics backbone, and drive digital transformation across core logistics processes.

This hybrid role requires a technical degree and 5–7 years in logistics or related fields, with hands-on experience deploying AI, ML, and automation.

Qualifications

  • Bachelor’s degree in statistics, analytics, mathematics, or equivalent.
  • 5–7 years in logistics or supply chain with focus on digital transformation.
  • Experience deploying AI/ML and automation in logistics.
  • Experience with SAP Analytics Cloud, Power BI, Denodo, Azure Databricks, Copilot 365/Studio.
  • Data governance: data quality, ownership, access management.
  • Authorized to work in the United States; no visa sponsorship.

Responsibilities

  • Enable proactive, insight-led decision-making through analytics and automated insights.
  • Lead deployment of analytics platforms, automation, and AI-enabled tools in logistics.
  • Build data foundation with governance and reporting standards.
  • Integrate AI and automation to reduce manual effort and standardize decisions.
  • Track realized value via KPIs and communicate impact.

Skills

Data analytics
Python
SQL
Power BI
Automation

Education

Bachelor’s degree in statistics/analytics/math or equivalent

Tools

SAP Analytics Cloud
Denodo
Azure Databricks
Copilot 365/Studio

Job description

The Clorox Company in Alpharetta, GA is seeking a Logistics Business Insights Manager to lead data-driven decisions across our logistics network. You will translate complex data into actionable insights, build a future-ready analytics backbone, and drive digital transformation across core logistics processes.

This hybrid role requires a technical degree and 5–7 years in logistics or related fields, with hands-on experience deploying AI, ML, and automation.

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