Manager, Analytics & Insights
Listed on 2026-07-15
-
IT/Tech
Data Analyst -
Supply Chain/Logistics
HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries.
For more information, please visit
As a Manager, Planning Analytics you will lead the evolution and continuous improvement of our supply chain planning products, systems, and analytical capabilities. This role is focused on enhancing planning performance through the application of advanced analytics, AI, automation, and improved planning logic across our supply chain ecosystem.
You will lead a team of analytics professionals responsible for designing, developing, and scaling improvements to planning solutions including inventory optimization, demand planning, replenishment logic, reporting, and decision-support capabilities. This role sits at the intersection of planning execution, analytics, product, and systems, and requires strong system thinking combined with hands‑on analytical and leadership capability.
This role provides the opportunity to directly influence how planning systems and analytical solutions evolve to better support supply chain decision making. The individual will build trusted partnerships across Product, Process, Technology, and Planning Execution teams to ensure solutions are practical, scalable, adopted by end users, and aligned with broader business priorities.
The ideal candidate brings both technical depth and leadership maturity: someone who can coach and develop talent, set a clear roadmap for system and product improvements, and drive disciplined execution while remaining current on market trends and advancements in AI, automation, and planning technology.
This is a hybrid role based at 345 N Morgan St., Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.
Requirnments:Bachelor’s degree in Operations Research, Supply Chain, Engineering, Data Science, Statistics, Information Systems, or a related field; advanced degree preferred.
5+ years of experience in supply chain analytics, planning operations, business intelligence, or a related quantitative discipline.
Demonstrated experience leading or mentoring analytic resources, coordinating work across multiple priorities, and driving adoption of analytical solutions.
Experience:Strong domain knowledge in supply chain planning concepts including inventory optimization, safety stock, demand quality, replenishment, distribution, and logistics.
Hands‑on experience improving planning products, systems, or processes through analytics, automation, and enhanced business logic.
Strong proficiency in Python and SQL for data analysis, scripting, automation, testing, and root‑cause analysis.
Experience with BI and reporting tools including Power BI and Tableau; ability to build, maintain, and publish dashboards and operational reporting.
Familiarity with planning or ERP systems such as MAESTRO, SCI Cockpit, APEX, or similar platforms.
Exposure to AI/ML, GenAI, automation frameworks, optimization, simulation, or related advanced analytical methods.
Experience working with Product and Technology teams to translate business needs into scalable planning and analytical solutions.
Experience operating in agile or sprint‑based delivery environments (JIRA or equivalent backlog / work‑management tools).
Responsibilities:Planning Product Evolution & Systems Improvement
Lead the evolution and continuous improvement of planning analytics products and systems including inventory logic, safety stock, demand quality, replenishment, and related decision‑support capabilities.
Own and prioritize a roadmap of enhancements that improve planning performance, user experience, scalability, and sustainability.
Identify gaps between current‑state planning system behavior and desired outcomes; design and implement long‑term solutions.
AI, Automation & Advanced…(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).