Mondelēz International, Inc. is a global leader in snacking, and they are seeking a Sr. Data Analyst to support advanced analytics that drive Revenue Growth Management decisions. The role involves collaborating with various teams to develop analytics solutions and generate actionable insights for strategic decision-making.
Support design, development & deployment of RGM Analytics Capabilities & Toolkit to transform complex data into RGM strategies & actions, in partnership with RGM Commercial CoE and Global MDS Teams.
Develop and refine advanced analytics models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions.
Conduct rigorous data validation, cleaning, preparation, and processing to ensure reliable inputs into RGM Analytics Solutions
Partner with the Global MDS Teams to continuously improve data pipelines and integration.
Translate analytical outputs into clear, actionable insights that influence pricing, pack, promo, and portfolio strategies & implications and ensure they are integrated into business plans.
Support the development of RGM Frameworks & Tools to monitor key performance indicators, continuously tracking outcomes and learning to optimize RGM levers.
Prepare analytical summaries and key findings to support RGM capability-building sessions, market rollouts, and leadership meetings.
Collaborate closely with Global, Regional & Local - RGM, Insights & Analytics, and Cross-functional stakeholders to support deployment and adoption of RGM Analytics Tools & Solutions.
Participate actively in learning sessions, global forums, and peer sharing opportunities within the RGM Analytics community.
Develop personal skills through ongoing learning, feedback, and structured development plans.
Support execution of Global RGM Analytics projects from data preparation through insight delivery with a focus on: Pricing, Promo, PPA & Mix.
Develop scalable RGM capabilities & solutions to democratize RGM across markets.
Collaborate closely with Global, Regional & Local Teams to ensure timely and high-quality analytics outputs.
Qualification
Required
Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Finance, or a related quantitative discipline.
Certifications in advanced analytics, data science, and/ or AI/ML etc.
2–3 years of professional experience in business analytics, data science, or commercial insights, preferably within FMCG/CPG or consulting.
Foundational understanding of core analytical techniques such as regression, price elasticity modeling, promotion analytics, forecasting, or optimization.
Experience with tools such as SQL, Python, R, or Alteryx for data manipulation and analysis.
Experience building reports and dashboards using Power BI, Tableau, or similar tools.
Experience managing cross-functional stakeholders in a matrixed organization.
Strong problem-solving mindset and analytical rigor.
High attention to detail with a focus on data quality and validation.
Ability to synthesize complex datasets into clear, concise insights.
Effective communication and interpersonal skills to collaborate across diverse teams.
Proactive learning attitude with willingness to grow within a global analytics capability.
