1+ months

Advanced Analytics / Data Science Manager - PepsiCo

Rogers, Arkansas

The PepsiCo-Walmart Strategy and Analytics team leads initiatives that encompass strategy, advanced analytics, capability building, and operational excellence for our largest customer globally, Walmart, Inc. (i.e., Walmart U.S., Sam's Club, and Walmart International). We employ a hypothesis-led and data-driven methodology to identify and execute strategic and tactical initiatives that improve performance across all three of PepsiCo's business units (i.e., Frito-Lay, North American Nutrition, and Pepsi Beverages) for the broader PepsiCo-Walmart, Inc. customer team.

The Advanced Analytics/ Data Science Manager will report to the Senior Manager of Advanced Analytics, working collaboratively with the Strategy and Analytics team and with the broader Walmart, Inc. customer team. The Manager of Advanced Analytics/ Data Science will work with team members to determine the best systems for managing an internal data warehouse that supports state-of-the-art analytics and the development of new capabilities in customer strategy, business intelligence, and advanced analytics. He/she will leverage analytical and critical reasoning to solve complex, multidimensional problems using quantitative information and applying statistical and machine learning techniques. Working as a member of the PepsiCo-Walmart Strategy and Analytics team will provide the Manager with an uncommon opportunity to gain experience that is highly-valued in the broader PepsiCo organization. He/she will work across all three of PepsiCo's business units - Frito-Lay, North American Nutrition, and Pepsi Beverages - while simultaneously serving the company's largest global customer, Walmart Inc., whose operations span multiple channels and both domestic and international markets.



  • Conceive and test hypotheses based on inconclusive or incomplete data from unstructured data and creating structures that lend themselves to analysis through A/B testing to surface empirical insights and validate hypothesis
  • Cleaning/transforming data used for analyses
  • Use problem solving methodologies to propose creative solutions to solve business problem
  • Identify, collect, and explore the right data used for predictive modeling and algorithm development
  • Design and develop state-of-the-art data-driven analyses using statistical & advanced analytics methodologies to solve business problems
  • Leverage pattern detection to come up with solutions to loosely defined problems
  • Build, validate, and test predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
  • Ability to apply statistical techniques to time series data to interpret the underlying variables impacting sales



  • B.S./M.S. in quantitative discipline required (e.g., mathematics, operations research, statistics, engineering, computer science, finance etc.)
  • 5+ years of experience in analyzing and interpreting data and team/project management
  • 2+ years of experience in advanced data modeling and forecasting techniques
  • Expert-level querying skills using SQL languages such as: SQL or Hive or Presto. Knowledge using window functions, joins and sub-queries SQL or Presto or Hive or PostgreSQL
  • Demonstrated ability to answer a seemingly simple business question with a pragmatic data-science led methodology. Expect us to ask you some examples in the interview.
  • Advanced facility in R or Python (loops, parallel computations) R or Python
  • Expertise in the application of statistical methods such as general linear model, ANOVA, decision trees, linear regression, Bayesian, clustering/ML techniques and analysis.
  • Intermediate+ level skills in visualization tools such as Tableau (Calculated field, parameters). Tableau preferred or BusinessObjects or PowerBI or Microstrategy
  • Superior communication (written/verbal) and presentation skills with ability to leverage PowerPoint to create an impactful, concise, and defect-free slide loop
  • A team player, who thrives on working collaboratively, inspiring others and bringing out the best in others.
  • Expert-level skills in Excel, Access, and PowerPoint
  • Work in ambiguous environment and establish new pathways and processes
  • Manage, managing multiple projects with competing priorities simultaneously
  • Exceptional project management and organizational skills
  • Understanding of how BI stacks work (Hadoop, Pig, Scala, Spark), ingestion/ETL/storage/Connectors to applications preferred but not required
  • Experience working with point of sale data including IRI, Nielsen or equivalent preferred but not required


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an equal opportunity employer Minorities/Females/People with Disabilities/Protected Veterans/Sexual Orientation/Gender Identity.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law (http://pep.jobs/eeo-poster) & EEO is the Law Supplement (http://pep.jobs/eeo-poster-supplement) documents by copying and pasting the appropriate URL in the address bar of your web browser.

To view our Pay Transparency Statement, please click here: Pay Transparency Statement


  • Data Management
  • Math
  • Software Engineering
  • Business
  • Statistics

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Advanced Analytics / Data Science Manager - PepsiCo

Rogers, Arkansas

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Rogers, Arkansas

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