JASON KESTER HANANI

Product Analytics & Operations Lead

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Professional Summary

Product analytics and operations leader with 6+ years delivering €1.5M+ in quantified impact through process engineering, AI-augmented workflows, and system-level design for e-commerce and logistics. Focused on diagnostics, system decisions, and measurable outcomes.

Core Competencies

  • Operational Clarity & Analysis: SQL (for data extraction & EDA), Python (AI-Augmented EDA), Tableau, Looker, Advanced Excel Modeling (scenario planning).
  • Systems Architecture & Optimization: Lean Six Sigma Green Belt, Process Mapping & Optimization, DMAIC, Workflow Automation (n8n/Python), Human Systems Design.
  • AI Integration: AI-Augmented Workflows, Prompt Engineering for Operations, AI-Driven Diagnostics, Prototyping Product Requirements.
  • Strategic Impact & Decision Design: Root cause analysis, BRD development, supply chain optimization, and measurable process improvements.

Professional Experience

Commercial PMO - ZALORA Group

Apr 2025 – Present
  • Standardized fragmented regional onboarding workflows into a unified global system, reducing cross-functional friction and support volume.
  • Designed cross-border inventory optimization model to improve stock availability and regional throughput.
  • Built business case and BRDs for multi-warehouse fulfillment; business case estimated a €300K annual revenue uplift (10% sales growth).

Operations Manager - ZALORA Group

Oct 2024 – Apr 2025
  • Performed margin sensitivity analysis and designed a fee structure supported by a business case estimating €200K revenue uplift.
  • Deployed AI-driven support automation for the Seller Helpdesk; achieved 24/7 coverage, increased ticket deflection, and improved SLA adherence.
  • Optimized end-to-end marketplace workflows to improve buyer/seller interactions and process efficiency.

Associate Project Manager - ZALORA Group

Nov 2022 – Sep 2024
  • Executed a DMAIC cycle on shipping logistics and redesigned the fee structure to save €520K annually.
  • Migrated return logistics to a cashless chargeback system, eliminating cash-on-pickup fraud and reducing failed pickup attempts.
  • Performed deep data diagnostics (SQL, Tableau, Looker, Python) to model warehouse and logistics performance for executive decisions.

Graduate Management Trainee - ZALORA Group

Nov 2021 – Oct 2022
  • Diagnosed revenue erosion from high return rates and launched an exchange feature that converted 15% of returns, preserving €695K in revenue.
  • Analyzed weekly NPS and customer feedback to produce quantitative inputs for operational decision-making.

Product Operations - Paxel

Jan 2020 – Oct 2021
  • Re-engineered routing engine workflows, reducing route activation lead time by 60% (5 to 2 days).
  • Optimized a 130-node supply chain network and produced capacity/cost analyses supporting hub relocations with under 1-year payback.
  • Authored BRDs for strategic system enhancements to enable clear engineering and operational execution.

Education & Certifications

B.S.E. Industrial & Operations Engineering (Cum Laude)

University of Michigan, College of Engineering (Dec 2018)

Six Sigma Green Belt

Institute of Industrial and Systems Engineers — Certification No. 2558-18401 (Apr 2017)

Methodology

Diagnostic-first, outcome-driven

Map failure modes, quantify impact, run DMAIC cycles, build BRDs, and deliver system designs that engineering and operations can execute against.

The Stack

Operational Clarity & Analysis

SQL (EDA)Python (AI-Augmented EDA)TableauLookerAdvanced Excel ModelingScenario Modeling

Systems Architecture & Automation

n8n AutomationWorkflow AutomationBRD WritingDMAIC

AI Integration

GenAIPrompt Engineering