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Senior Manager, Data Products - East Hanover, United States - Mondelēz International
Description
Job DescriptionJob Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Possible.
You will have the opportunity to make an big impact on our business performance as you support the data strategy and lead the development of custom models/algorithms.
Working in close partnership with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility.
How You Will Contribute You will:
> Work collaboratively with multiple teams and external partners to build the analytics roadmap which aligns with overall business objectives.
> You will lead the ideation and delivery of applications that transform business processes, are scalable, sustainable, and embedded in the ways of working of business teams.> Develop and codify frameworks and custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance. What You Will Bring > Ability to influence the business agenda and make recommendations to senior leaders.> Proven track record of building strong relationships across the organization and continuous improvement of processes.> Leadership experience in best-in-class analytics practice roles.> Savvy in usage of analytics techniques to create business impacts.> The individual is passionate about delivering insights and has a solid financial and analytical acumen.> Proven people leadership experience.> The ability to work collaboratively across teams is critical to build robust tools leveraging business and data / AI best practices.> Leadership, thought leadership, ability to influence, building and leading highly effective teams.> Demonstrated ability to launch and deliver multiple, concurrent IT projects on time and within budget successfully.> Proven people leadership experience.
What extra ingredients you will bring:
> B.S./B.A. (required) Information Systems/Technology, Business Analytics or related field, Masters is preferred but not essential.> 10+ years of relevant experience in Data and Analytics (CPG or FMCG is prefered).> Experience with data cleansing & validation with the ability to extract insights from disparate data sources in formulating stories.> Advanced skills in MS Excel/Google Sheets and MS PowerPoint/Google Slides.> Experience with data visualization tools (e.g Tableau, PowerBI).> Experience with programming on Python/R Specific Skills And Experiences > Nielsen/IRI or other EPOS/Retail Sales data source; Kantar/GFK or other household panel source.> K-means/multiple regressions & clustering; Market Mix Modeling or other econometrics.> Solid understanding of the sales and RGM processes as well as a deep understanding of associated datasets and challenges often faced on data and problem solving.> Confidence with working within syndicated databases (e.g. IRI, Nielsen) to pull and analyze data.
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 PatchKids 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 for assistance. Job Type RegularAnalytics & ModellingAnalytics & Data Science#J-18808-Ljbffr
