Senior Manager, Analytics

Job 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:

• Drive category growth and MDLZ share by generating insights through the use and application of sophisticated analytics techniques
• Analyze all consumer, shopper, customer and Industry data sources into impactful business insights across brick and mortar and e-commerce, to drive growth for Mondelez
• Influence and impact business results by interpreting, synthesizing and communicating insights and recommendations that are simple, engaging, and actionable
• Build tools, techniques and processes that can be scaled
• Solid understanding of which data source to leverage to answer the question (POS, Syndicated, Panel, image recognition, Industry Insights, etc)
• Build, develop and maintain data sources, reporting systems, dashboards and key performance indicators (KPIs) that support key business decisions
• Expertise/Proficiency in SQL, Python, R or other programming platforms
• Familiarity with Azure or Google Cloud
• Knowledge of Tableau or PowerBI Dashboard creation a +
• Expertise in various statistical techniques such as regression, cluster analysis, discrete choice modeling etc.
• Expert knowledge of Syndicated Data (IRI/Circana, Nielsen/NIQ, 84.51, Stackline, Spins, etc.)
• Advanced technical capabilities in Excel - pivots, power pivots, advanced formulae, solver/optimizer etc
• Expertise in Power Point, Power BI, etc.
• Strong verbal and written communication, work planning and organization skills
• Effective collaborator who can create strong relationships with cross functional partners
• Impactful presentation skills to clearly communicate with cross functional, internal teams
• CPG Analytics experience ++

What extra ingredients you will bring:

• Demonstrates a bias for speed and action-orientation
• Demonstrate a growth mindset with creative and proactive approaches to work
• Approaches interactions with an open-minded, flexible style
• Inspires and motivate self as well as others
• Leads, influences and negotiates effectively cross-functionally & vertically in a matrixed organization
• Proactive business curiosity
• Bachelor's Degree Required
• Minimum: 7-10 years experience in related field
• Demonstrate problem-solving skillset/mindset to answer ambiguous business questions
• Ability to thrive in a fast-paced environment; comfortable with prioritizing multiple deliverables & overlapping deadlines, and strong interpersonal skills to manage expectations

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, weproduce 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
Analytics & Modelling
Analytics & Data Science