Data Modeller - Mumbai, India - Mondelēz International

Mondelēz International
Mondelēz International
Verified Company
Mumbai, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
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:

  • Work in close partnership with the business leadership team to execute the analytics agenda
  • Identify and incubate bestinclass external partners to drive delivery on strategic projects
  • Develop custom models/algorithms to uncover signals/patterns and trends to drive longterm business performance
  • Execute the business analytics program 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 senior leaders
  • Technical experience in roles in bestinclass analytics practices
  • Experience deploying new analytical approaches in a complex and highly matrixed organization
  • Savvy in usage of the analytics techniques to create business impacts

More about this role


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


What you need to know about this position

:


The incumbent will:

  • Work in close partnership with the business leadership team to execute the analytics agenda
  • Identify and incubate bestinclass external partners to drive delivery on strategic projects
  • Develop custom models/algorithms to uncover signals/patterns and trends to drive longterm business performance
  • Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What extra ingredients 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 senior leaders
  • Technical experience in roles in bestinclass analytics practices
  • Experience deploying new analytical approaches in a complex and highly matrixed organization
  • Savvy in usage of the analytics techniques to create business impact

Job specific requirements

:


  • Exposure to the CPG industry especially to the RDQ business processes within
  • Knowledge on RDQ data structures like those of SAP PLM, ERP, VOICE etc
  • Understanding of different data modelling techniques and tools
  • Knowledge of cloud data warehouses & lakes especially on Google Big Query platform
  • Minimum overall experience of 10 years

Business Unit Summary

:


At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

:


We have a rich portfolio of strong brands globally and locally including many household names such as _Oreo _
, _belVita _
and _LU _
biscuits; _Cadbury Dairy Milk _
, _Milka _
and _Toblerone _
chocolate; _Sour Patch Kids _
candy and _Trident _
gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

:


Our 80,000 makers and bakers are located in more than 80 countries
and we sell our products in over 150 countries
around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

:


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 Type

:

Regular

Analytics & Modelling

Analytics & Data Science
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