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Job Description

Job Description

Are You Ready to Make It Happen at Mondelēz International?


Join our Mission to Lead the Future of Snacking. Make It With Pride.


Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.


How you will contribute


You will: 


  • Execute the business analytics agenda in conjunction with analytics team leaders
  • Work with best-in-class external partners who leverage analytics tools and processes
  • Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
  • Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring


A desire to drive your future and accelerate your career and the following experience and knowledge:


  • Using data analysis to make recommendations to analytic leaders
  • Understanding in best-in-class analytics practices
  • Knowledge of Indicators (KPI's) and scorecards
  • Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

More about this role


What you need to know about this position:


  • An Analyst/ Consultant is responsible for supporting mathematical modelling needs for inventory optimization and Supply Planning optimization for designated geography across the globe.
  • Exposure to Multi Echelon Inventory Models (MEIO) implementation via O9 or Kinaxis or BlueYonder or SAP IBP IO or OMP
  • The role includes statistical modelling and running of the for Multi Echelon Inventory Models (MEIO) at regular intervals (monthly/quarterly) to help region meet the regular inventory targets as defined by management business objectives.
  • Work closely with Supply Planning function and factories to find ways to reduce the overall inventory in FG, RM/PM category or MRO category.
  • Liaison with Regional Supply Planning Capability Leads to define & support a governance a process for inventory policy parameter refresh for each region and execute it accordingly
  • Create / leverage simulation tools and lead various required simulation and sensitivity analysis with multiple business scenarios to assess the impact of business dynamics (SC disruptions, changing manufacturing sources, deploying new production strategies etc.) on inventory and help define action plans
  • Familiar and proficient in data extraction, handling and data consumption and should be able to provide required output via effective visualization techniques leveraging tools like Alteryx & Tableau.
  • Supports Supply Planning continuous process improvement projects by generating required analysis, developing analytical & statistical models to resolve/detect escalated performance issues.
  • Ideate in building initiatives around Supply Planning optimization processes across all regions for FG, RM/PM, MRO, MOQ Optimization, and Segmentation

Education / Certifications:


Either of the following is applicable as educational criterial for the position


  • B. Tech / B.E. from IIT / BITS Pilani / NIT and / or master’s in operations from tier 1/2 MBA colleges with exposure to Supply Chain Operations & Analytics in the curriculum (IIM NITIE, SP Jain, JBM)
  • APICS CPIM or CSCP or similar accreditation – highly preferred Or Motivation and capability to acquire accreditation.
  • Exposure to Lean Six Sigma & Continuous Improvement techniques will be preferred.

Job specific requirements:


Functional /Technical Expertise:                                                          


  • Overall experience in field of application of statistics, analytics to SCM in FMCG**
  • Exposure to packages like SAP IBP IO / Supply Chain Guru / IBM Ilog / Logility / OMP / o9 focusing on optimization modules and open source technologies like R / Python
  • Mandatory experience handling Supply Chain Operations & Planning processes
  • Mandatory Exposure to SAP APO SNP (preferred) or similar inventory/ planning tools
  • Mandatory Exposure to FMCG (Direct or Indirect through consulting engagements)
  • Programming Skills required - Python, PowerBI, SQL, etc.

Competencies /Abilities: 


  • Demonstrated Basic Supply Chain knowledge & SC KPIs to understand inventory dynamics
  • Possess required SC / Ops, Mathematical modelling & Analytics Education & Experience
  • Self-Starter to handle various priority conflicts, proactive identify opportunity areas and build sustainable solutions
  • Demonstrate excellent problem-solving skills, analytical skills, as well as verbal and written communication skills in English
  • Drive for cross-functional results by proactively understanding and managing key issues & success criteria

Travel requirements: <10%


Work schedule:


Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer PolicyBusiness Unit SummaryOur Latin America region is comprised of four Mondelez International business units: Brazil, México, Southern Cone (which includes Argentina, Uruguay and Paraguay) and WACAM (which includes 12 South American countries and the U.S. territory of Puerto Rico); and one stand-alone market: Venezuela. We have approximately 20,000 passionate employees who put in all their energy, hearts and souls to create, market and sell our global iconic brands and beloved local jewels such as Lacta, Field and Terrabusi among others. We are known for our resilience and good humor and live our purpose with passion and commitment.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


Job TypeRegularAnalytics & ModellingAnalytics & Data Science

Job Details

Job Location
India
Company Industry
Other Business Support Services
Company Type
Unspecified
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified
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