Match score not available

Data & Analytics EM Manager

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
103 - 142K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
New Jersey (USA), United States

Offer summary

Qualifications:

Bachelor’s Degree in data, Statistics, Mathematics, or Engineering., 2 years of experience in Data analytics., 2-4 years commercialization or manufacturing experience., Strong quantitative skillset with data analytics experience..

Key responsabilities:

  • Analyze and derive value from data.
  • Enable data-driven decision making through custom models.
Mondelēz International logo
Mondelēz International XLarge https://www.mondelezinternational.com/
10001 Employees
See more Mondelēz International offers

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.

This individual may interface with multiple levels of Supply Chain that include BD, EM Ops, Product Supply, Engineering, CS&L, and Finance.  This role also has responsibility in the Confections category, to support execution of projects at our External Manufacturers & Repackers to drive the category growth.  This individual will partner with peers in BD, Commercialization, Engineering, Quality, E2E Planning and R&D, in addition to the External Manufacturer as part of the project executional team to ensure each initiative’s objectives are delivered on time and in full.

 

How you will contribute

 

You will:

 

·       Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. 

·       Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business.  After that you will work with stakeholders to determine how to use business data for business solutions/insights.

·       Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results.

·       Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making.

·       Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

·       EM partnering, establishing roles and responsibilities with the EM, aligning expectations on project execution, issue resolution, delivery of project commitments (quality, service, cost, expenses) and sustained performance.  

·       Provide leadership to the BD & E2E organization on the EM network strategy as it relates to the business team’s commercialization plans. Represent EM as “one point of contact” for brand strategies and project implementation within the EM network.

 

What you will bring

 

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

 

·       Strong quantitative skillset with experience in data analytics

·       Ability to draw conclusions and make recommendation based on analysis of data

·       A natural inclination toward solving complex problems

·       Ability to build and maintain strong working relationships

·       Good communication skills to promote cross-team collaboration

·       Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

Education / Certifications:

Bachelor’s Degree in data, Statistics, Mathematics, Engineering, etc.

Job specific requirements:

· 2 years of experience in Data analytics applied to business solutions/insights. 2-4 years commercialization or manufacturing experience, Problem Solving, Teamwork capable and heavy workload management.

· Systems knowledge: Full Microsoft Suite Capabilities, especially Microsoft Excel and Powerpoint.

Travel requirements:

30-40%

Work schedule:

From Monday to Friday, flexibility between in office, on-site, and remote

Salary

For salaried roles based: The anticipated base salary range for this position is $103,200 and $141,900 ; the exact salary depends on several factors such as experience, skills, education, and budget.  The salary range may vary based on geographic location.  In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.

 In addition, Mondelez offers a variety of benefits to eligible employees, including health insurance coverage, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others.  Many of these benefits are subsidized or fully paid for by the company.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and  Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.  

Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.

Job Type

Regular

Manufacturing support

Manufacturing

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mathematics
  • Problem Solving
  • Microsoft Excel
  • Microsoft PowerPoint
  • Teamwork
  • Collaboration
  • Communication

Related jobs