People Analytics Lead - North America

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Possible.

Forward-thinking companies are tapping into the vast stores of data at their disposal to develop and grow one of their greatest assets – their people. People Analytics is transforming how we work in HR by bringing together perspectives from statistics, generative AI, data and computer science, marketing research, economics, psychology, and sociology.

Our group is where you get to learn from authorities in the field, work with an interdisciplinary and international team of colleagues, and use your past experiences and knowledge to contribute in novel ways to help Mondelez build a work environment where talent thrives.

You will have opportunities to work with our best-in-class team in projects using LLMs, model in Python, have a say in designing our DataBricks/PySpark ecosystem for people data, and visualizing your analysis with Power BI, Jupyter Notebooks, and even LaTeX.

The People Analytics Senior Manager is part of the Global People Insights and Analytics group within Mondelēz. You will be responsible for consulting and delivering on people analytics services and solutions that inform talent decisions across key capabilities such as retail, R&D, distribution, supply chain, manufacturing and corporate functions in our North American (NA) Region. You will partner with our NA senior leaders to deliver data insights and analytics and help shape, advance and progress NA’s People Strategy.

To accomplish this, we expect that you grow and nurture key relationships with our NA teams, regions, cross-functional stakeholders, business leaders and HR colleagues across the globe. You should expect to work in a matrixed environment where close-collaboration and partnerships are keys to success.

Accountabilities:

• Consult with senior business leaders, HR COEs and HR field teams to provide data insights that inform our talent strategy, engagement practices, and inclusion programs.

• Partner with team’s analysts to drive analytical projects and deliver actionable insights. Conduct advanced statistical analysis, data modeling, and predictive analytics to identify trends, patterns, and correlations within the workforce data. Deliver insights with data storytelling visualizations.

• Deliver talent insights through applications of pay & labor market analysis, organizational network analysis, sentiment analysis, and time series forecasting applied in strategic workforce planning.

• Participate in executing a global workforce analytics strategic roadmap to globally operationalize and scale our workforce analytics capabilities to support business leaders and our HR community.

• Stay updated on industry best practices and emerging trends in workforce analytics, recommending innovative solutions to enhance data-driven decision-making.

Qualifications / Requirements

• Bachelor's degree in Statistics, Business Analytics, Data Science, Computer Science or a related Technology/Quantitative field. Master’s or PhD a plus.

• Proven experience (5-10 years) in workforce analytics, people analytics, or a similar role, with relevant experiences in data engineering, data analysis, statistical modeling (multi-variate statistical modeling, including approaches like linear and logistic regression, tree-based modelling), prompt engineering, LLM applications and data visualization principles.

• Strong knowledge of scope of work around data engineering, data modeling with statistical techniques, analytics use-case development, utilization of various business tools supporting the analytics domain.

• Proficient with programming languages used in data ingestion, manipulation, preparation, and statistical modeling (Python or R preferred), presentation tools (e.g., Power BI, Tableau).

• Proficient in applying generative AI techniques, including prompt engineering, to solve for use-cases in people analytics. Experience building people analytics applications using open-source LLMs is a significant plus.

• Working with a global team in multiple time zones, savvy, and comfort in working with remote team productivity tools such as Miro, Mural, Figma, JIRA, Monday, or Trello.

• Familiarity of Lean Six Sigma principles along with Kanban / Agile / Scrum Methodology a plus.

• Strong business acumen and understanding of talent practices and processes.

• Exceptional communication skills, with the data story telling ability to present complex data and insights in a clear and concise manner to business audiences.

• Ability to work collaboratively and build strong relationships across various levels of the organization.

• Proven track record of driving data-informed decision-making and improving business outcomes through workforce analytics.

What extra ingredients you will bring:

• Agile, adaptable, and open to new ideas and cultures

• Collaborative and team-oriented working style

• Intellectual curiosity and dedicated to keeping up with advances in analytics tools and approaches.

• Willing to experiment with different approaches and capable of applying new insights in creative ways to answer business and talent questions.

• High attention to detail – self-monitors own work to ensure accuracy and completeness.

• Ability to communicate complex analyses to a wide variety of audiences—from executives to analysts—across a variety of communication mediums (i.e., presentations, PowerPoint decks, memos, websites)

• Experience using, implementing, and managing SaaS Workforce Analytics Platforms, such as Visier, One Model, or Crunchr a plus.

Working Location:

• We hope our new teammate will join us at our new global headquarters in Chicago's West Loop neighborhood, or our US Headquarters in East Hanover, NJ.

The base salary range for this position is $137,300 to $188,825; the exact salary depends on several factors such as experience, skills, education, and budget. 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 International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. 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