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Lead Fulfillment Optimization Manager

2.00 to 5.00 Years   Bangalore   27 Feb, 2020
Target Corporation India Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryRetail
Functional AreaGeneral / Operations Management
EmploymentTypeFull-time

Job Description

PRINCIPLE DUTIES AND RESPONSIBILITIES

  • Understands Target s supply chain data across dot com and store channels.
  • Based on data, learns the current status of supply chain and is able to align with the leadership vision for longer term strategy.
  • Works with other optimization managers to analyze opportunities, quantify scope for improvement and define core areas of focus to improve guest experience and cost to serve in Target s supply chain.
  • Conducts mathematical modeling, simulation and statistical approaches to clearly define problems, build solutions and recommend next steps to the IPC lead team.
  • Builds root cause analysis and reporting to provide specificity/detail in analytical output(s) to drive deep understanding of the problems/defects and action across core process teams and partners.
  • Provides necessary information for and participates in pilot engagements to demonstrate business opportunities and ensures succession to standard process/practice where appropriate.
  • Works closely with data science and engineering teams to help deploy new algorithmic solutions to support inventory planning and control. Has the passion to engage in deep analytical, algorithmic work while staying connected to the core business teams
REQUIREMENTS:
  • Academic background in quantitative disciplines such as statistics, operations research, business analytics or mathematics
  • Experience utilizing problem solving and analytical skills
  • Familiarity with supply chain concepts such as forecasting, planning, optimization, and logistics - gained through work experience or graduate level education
  • Familiarity with statistical tools such as SAS, R, SPSS and with scripting languages such as Python for analyzing data and building prototypes
  • Knowledge of statistics and data mining techniques and tools to analyze and make insights from big data such as historical sales data and simulation/experiment results
  • Technical aptitude for the design and use of complex logistics software systems
  • A strong passion for empirical research and for answering hard questions with data
  • Ability to communicate complex concepts in easy to understand terminology with multiple audiences
,

Keyskills :
root cause analysisbig data root causedata mining supply chaindata science graduate levelproblem solving

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