招聘
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:
The Supply Network Design Analyst will improve business results by giving tactical & strategic business solutions via applying his/her analytical skills using analytical data modelling against various supply chain problems. He/She will be responsible for providing analytics and certain degree of project management to the various projects and regular network capacity reviews for various BUs. This role utilizes network modelling, data management tools and visualization to drive sound, fact-based business decisions on the E2E supply network. This includes product sourcing, manufacturing footprint, capacity analysis, distribution network design and cost-to-serve analysis.
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Identifies data requirements, defines best fit data sources, and works with stakeholders on data validation
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Models the network according to project charter and following existing global modelling standards and tools
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Models, assesses (costs, service, inventory) and validates scenario outputs using visualization software (e.g. Tableau) and discusses it with relevant stakeholders
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Maintains current knowledge of modelling and analysis techniques and works on continuous improvement through networking with internal stakeholders and external professional organizations, vendors, and support forums
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Builds trust and credibility with different stakeholders to achieve common organizational goals and targets
What extra ingredients you will bring:
You will:
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Work in close partnership with the business leadership team to execute the analytics agenda
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Identify and incubate best-in-class external partners to drive delivery on strategic projects
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Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
-
Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
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
Education / Certifications:
Bachelor’s or Master’s degree, in a quantitative field such as Statistics, Applied Mathematics, Engineering, Data Science
Job specific requirements:
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Overall experience Logistics, Distribution, Production / Operations management, and/ or supply chain management (FMCG preferred)
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Demonstrated experience in applying analytical to solve business problems
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Strong experience in Supply Chain Guru/lyric any similar Supply Chain optimization tools is must!
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Proven experience in reporting and managing projects with cross-functional and global stakeholders
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Stronghold in Visualization Tools (Tableau/Power BI) – Power BI Preferred
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Stronghold in Data Management and Processing Tools (Alteryx/R/Prep) - Alteryx Preferred
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Experience in Statistical analytical tools and projects may be advantageous.
Relocation Support Available?
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our succes
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.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular
Analytics & Modelling:
Analytics & Data Science:
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About Mondelez
Chicago
Headquarters
Reviews
2.4
9 reviews
Work Life Balance
1.8
Compensation
2.1
Culture
1.9
Career
1.7
Management
1.5
15%
Recommend to a Friend
Pros
Flexible scheduling and making own hours
Decent work-life balance (some positions)
Not being stationary/mobile work
Cons
Poor management and micromanagement
Low pay compared to workload
Excessive hours and poor scheduling
Salary Ranges
34 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Focused Improvement Engineer
1 reports
$100,781
total / year
Base
$87,635
Stock
-
Bonus
-
$100,781
$100,781
Interview Experience
2 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Contact
3
Phone Screening
4
Skills Assessment
5
Final Interview
6
Offer Decision
Common Questions
Past Experience
Technical Knowledge
Behavioral/STAR
Skills Assessment
Culture Fit
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