• Job Description

  Req#: 248597
  Overview This role is with the Global business services arm of Advanced Analytics (CoE) at PepsiCo. In this role, you will play a key role in shaping the future of PepsiCo, esp. with focus on building an understanding of the key Growth Driver that drive the Volume sales. You will be a trusted advisor to marketing and Insights leaders across key markets for PepsiCo’s portfolio globally - enabling a range of internal and external stakeholders to leverage Category forecasting across channels, leveraging measurement, insights, as well as process & technology. You will be responsible for providing thought leadership and advice to set a vision for driving PepsiCo Volume or Value growths. You will also play a key role in developing cross-portfolio, cross-markets optimizations capability, driving the vision through a set of focused, tangible and results-oriented activities. You will work with the Marketing and Insights leadership team globally and within APAC sector to identify best practices in the industry and across all PepsiCo’s brands, providing support to codify and scale best in-class methods that inspire continuous improvement in marketing effectiveness and ROIs Responsibilities Functional Responsibilities • Growth and share analytics: o Quarterly Category growth and share forecasting that feeds into AOP (key markets PH, VN, TH, MY, SK ) and Indofoods, Indonesia and ANZ (only for AOP) o Creating a predictive model on share building linkages between Nielsen and Canadean data o Scenario planning on Share for key markets mentioned above o PGM growth forecasting and process for all key markets mentioned above • Penetration deconstruction: How do we drive penetration further based on HH panel analysis • Category and Brand Drivers Analytics • Advance analytics Projects (some examples shared here): Flavour analytics, MT backdoor sales analysis (bevs), analytics to identify distribution opportunity, same store, brand overlaps analysis (if possible), Sku assortment analytics • Pricing analytics projects as and when needed : New Sku’s/launches performance benchmarked vs previous new launches, promo/merch effectiveness, Promotion effectiveness • Maintenance of existing Category forecasting o Periodic refresh of existing models across markets and Segments o Periodic model validation to check need for rebuild o Guiding business with periodic updates • Building new Statistical models o Building new models for existing or new markets o Building any other form of new measurement asset to answer business questions • Creating and maintaining Monthly/Quarterly/half yearly/ long term (PGM) forecast and ensure timely build and refresh of the models so that it can help in timely business decisions. • Actively scout new partnerships, concepts, and technologies that can be scaled across portfolio • Promote data consistency globally to support common standards and analytics; • Partner with PepsiCo functional teams, agencies and third parties to build seamless process for acquiring, tagging, cataloging and managing all media, Nielsen and internal data periodically in structured format as needed for measurement statistical models. • Establish periodic data verification processes to ensure data accuracy • Build strong relationships with key business partners across internal data science team, marketing and insights teams and media agency/platforms in adoption of learnings of market mix modeling • Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems Qualifications 5-8 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python/R & BI skills, Machine learning (ML)/ Problem-Solving Skills/ Probability and Statistics/ expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Extensive development experience with visualization platforms (e.g. PowerBI, Tableau etc.) User interface design capabilities supporting high quality visual and functional experience Excellent project management skills esp. with managing supporting teams Advanced Excel skills Expert on “Point of Sale” (Nielsen, IRI, SPINs, One Click Retail etc.) databases/metrics a must & good understanding of FMCG market structures, knowledge of media. Structured thinker / problem solver who works independently Excellent organizational skills and attention to detail Great Collaborator / Team Spirit Language: English Fluent
  5-8 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python/R & BI skills, Machine learning (ML)/ Problem-Solving Skills/ Probability and Statistics/ expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Extensive development experience with visualization platforms (e.g. PowerBI, Tableau etc.) User interface design capabilities supporting high quality visual and functional experience Excellent project management skills esp. with managing supporting teams Advanced Excel skills Expert on “Point of Sale” (Nielsen, IRI, SPINs, One Click Retail etc.) databases/metrics a must & good understanding of FMCG market structures, knowledge of media. Structured thinker / problem solver who works independently Excellent organizational skills and attention to detail Great Collaborator / Team Spirit Language: English Fluent
  Functional Responsibilities • Growth and share analytics: o Quarterly Category growth and share forecasting that feeds into AOP (key markets PH, VN, TH, MY, SK ) and Indofoods, Indonesia and ANZ (only for AOP) o Creating a predictive model on share building linkages between Nielsen and Canadean data o Scenario planning on Share for key markets mentioned above o PGM growth forecasting and process for all key markets mentioned above • Penetration deconstruction: How do we drive penetration further based on HH panel analysis • Category and Brand Drivers Analytics • Advance analytics Projects (some examples shared here): Flavour analytics, MT backdoor sales analysis (bevs), analytics to identify distribution opportunity, same store, brand overlaps analysis (if possible), Sku assortment analytics • Pricing analytics projects as and when needed : New Sku’s/launches performance benchmarked vs previous new launches, promo/merch effectiveness, Promotion effectiveness • Maintenance of existing Category forecasting o Periodic refresh of existing models across markets and Segments o Periodic model validation to check need for rebuild o Guiding business with periodic updates • Building new Statistical models o Building new models for existing or new markets o Building any other form of new measurement asset to answer business questions • Creating and maintaining Monthly/Quarterly/half yearly/ long term (PGM) forecast and ensure timely build and refresh of the models so that it can help in timely business decisions. • Actively scout new partnerships, concepts, and technologies that can be scaled across portfolio • Promote data consistency globally to support common standards and analytics; • Partner with PepsiCo functional teams, agencies and third parties to build seamless process for acquiring, tagging, cataloging and managing all media, Nielsen and internal data periodically in structured format as needed for measurement statistical models. • Establish periodic data verification processes to ensure data accuracy • Build strong relationships with key business partners across internal data science team, marketing and insights teams and media agency/platforms in adoption of learnings of market mix modeling • Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems

• About the company

  PepsiCo, Inc. is an American multinational food, snack, and beverage corporation headquartered in Harrison, New York, in the hamlet of Purchase. PepsiCo's business encompasses all aspects of the food and beverage market. It oversees the manufacturing, distribution, and marketing of its products.

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