East Hanover, USA
3 days ago
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 be part of a high-performing, collaborative team who brings the voice of the consumer and shopper into our business and make a tangible business impact. We are developing cutting edge data, analytics and AI tools that give a significant competitive advantage. We foster a supportive team atmosphere to amplify individual strengths and curiosity.  We value a diversity of talent, experiences, and backgrounds to expand our team culture.

Location: This is a hybrid position based at our East Hanover, NJ HQ office with in-office expectations of minimum 2 days per week.

Key responsibilities:

Elevate the Digital Analytics Capability & Impact

Enhance the existing capability for Digital Analytics in line with business needs/requests and deliver actionable recommendations to optimize sales impact.

· Evaluate the effectiveness and performance of all digital investment and recommend changes in collaboration with other research workstreams.

· Identify critical gaps and opportunities, and work with the brand leaders and the consumer experience team, to recommend ways to course-correct and optimize partners and channels in these ‘hot-spots’.

Partner with CX to Drive Precision Marketing

· Create Audience Targeting and Segmentation Strategy by leveraging multiple data sources, behavior and preferences, including the purchasing history of cohorts.   

· Predictive Modeling: Predict future performance and suggest changes to optimize ongoing planning.

· Drive Personalization through targeting, communication, and messaging strategy

· Customer Journey Mapping: analyze data at various touchpoints across the customer journey & identify patterns on how customers react and convert to sale.

Build Media Analytics

· Lead Learning Agendas in line with business requirements. These involve Test & Learns, Pilots, Brand Lift, A/B testing, etc.

· Partner with the CX team to effectively build the CRM capability, by adopting best practices and undertake relevant test & learns.  

· Support various pilots on AI and GenAI in relation to media analytics.

· Propensity Modeling: Predict granular pockets of growth (e.g., geographies, demographic/psychographic groups) and prioritize based on segment size, propensity to purchase our brands, and ability to reach audiences

· Evaluate creative quality and drivers to Creative Excellence by category by undertaking agile experimentation and driving hypothesis driven testing.  

· Create appropriate metrics and lead development of reporting & analytics products and dashboards.

· Activate pockets of growth by leveraging a test, learn and scale operating model.

What extra ingredients you will bring:

· Demonstrated ability to influence cross-functional and upper management to impact decision-making; Willingness to “have an opinion” backed up by insight and analytics and the confidence to influence key stakeholders in meetings and one to one basis.

· Outstanding communication skills; Ability to think analytically to understand complex or ambiguous problems or issues and communicate solutions/conclusions clearly and concisely; Data analysis and visualization skills are a must.

Education / Certifications:

Bachelor's degree required; post-graduate degree or equivalent in Market Research, Social Sciences or Statistics is preferred.

Job specific requirements:

· 7+ years’ experience in Digital Analytics, Media Analytics and Optimization

·Deep knowledge of the Digital landscape and performance tracking/optimization. Market Mix Modeling is a plus.

 Technical market research and analytical expertise and conversant in a range of quantitative and qualitative ad hoc research techniques and syndicated business analyses, including the role of AI and GenAI in insights.

Travel requirements: Approximately 2-3 business trips/year.

Work schedule: This is a full-time, hybrid role based in East Hanover, NJ with in-office expectations of minimum 2 days per week.

The anticipated base salary range for this position is $130,900 – 179,950 ; 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

Analytics & Modelling

Analytics & Data Science
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