Overview

　　We Are PepsiCo

　　Join PepsiCo and dare to transform! We are the perfect place for curious people, thinkers and change agents. From leadership to front lines, we're excited about the future and working together to make the world a better place.

　　Being part of PepsiCo means being part of one of the largest food and beverage companies in the world, with our iconic brands consumed more than a billion times a day in more than 200 countries. In PepsiCo Mexico is one of the most important consumer products companies in the country. Our product portfolio, which includes 22 of the world's most iconic brands, such as Sabritas, Gamesa, Quaker, Pepsi, Gatorade and Sonrics, has been a part of Mexican homes for more than 116 years.

　　A career at PepsiCo means working in a culture where all people are welcome. Here, you can dare to be you. No matter who you are, where you're from, or who you love, you can always influence the people around you and make a positive impact in the world.

　　Know a little more: PepsiCoJobs

　　Join PepsiCo, dare to transform.

　　Responsibilities

　　The Opportunity

　　Main purpose of this position is to continue developing the SDNA capability for LATAM sector and go beyond the basics, creating analytical models using the tool's data, connected to a buisiness objective to drive growth, working closely with key markets and embedding the tool in their current processes to make initiatives sharper.

　　The focus of this role is to facilitate in driving data-driven decision making, fostering collaboration with BU stakeholders, and ensuring the successful implementation of data science and business intelligence solutions (Leveraging sDNA ) that deliver. This individual will be responsible for driving data science frameworks for store potential , shopper led cluster and Assortment Optimisation

　　Need to work closely with the LATAM Business Units to manage the annual workplan scope and deliver the projects through. Coordinate with Europe sector teams and HBS Data Science to ensure best practices of advanced analytics frameworks are adhered and deployed for different markets. This is going to be a techno functional role translating business pain points making the outputs intuitive for business use case.

　　In Summary this role will:

　　Focus on support for data science and advanced analytics initiatives (sDNA and cDNA ) for LATAM e.g. prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.., through application of data science and advanced analyticsCollaborate with Senior Business stakeholders to align Data Strategy to Business objectives and contribute to defining and socializing the mechanism to measure the Return on Data Investments and overall success of Data StrategyOptimise and integrate different data sets to enable the undertaking of advanced analytics to identify growth opportunitiesKey responsibilities will be to understand the data availability across LATAM markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects This role need to engage in complex data analysis using statistical techniques and machine learning algorithms to extract insights from large data sets Leverage best practice capabilities with GBS and learnings on Data Science applications.

　　Your Impact

　　As Shopper Insights Assoc Manager your scope would consist of:

　　Data Analysis and Modeling: Analyzing complex datasets to extract valuable insights and identify trends/patterns. Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-HomeClean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projectsBuild analysis in Python with accompanying documentationDesigning and using algorithms and building predictive & prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant dataDeveloping our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.Strategy and Planning: Collaborate with stakeholders, including senior management, to understand business objectives and develop a data science roadmap. Translate business needs into actionable plans and projects, ensuring alignment with organizational goalsSolution Design: Collaborate with stakeholders to understand their requirements and challenges, and design data science solutions that address their needs. Identify and evaluate appropriate methodologies, algorithms, and tools to effectively solve complex problems. Ensure scalability, efficiency, and maintainability of the solutions.Continuous Improvement: Stay up-to-date with emerging trends, technologies, and best practices in data science, machine learning, and AI. Identify opportunities to enhance data science methodologies, tools, and processes within the team.

　　Qualifications

　　Who Are We Looking For?

　　+7 yrs working experience preferably in CPG industry or Consulting, in areas of Analytics, Insights, Marketing, ITBachelor's degree in engineering, Data Scientist, Actuario, Data Analytics related career; post-graduate degree in same areas desirableOutstanding project management skillsStrong quantitative skills and Analytics proficiency (Data Sicience)Acts as an owner, self-starter with the highest results orientation Fluent in Spanish and English, Purtuguese desiredStrategic thinking and Results oriented Assertive Communication to all stakeholdersProficient using Excel, Power Point and WordProficient using data science language SQL, Python, GIT & DAXMost know how to work data arquitecture Preferable experience with data engineering SQL, Airflow, DBT & GTIStrong analytical skillsIntelectual curiositySchedule flexibility as we have different time zones within Latam countriesAbility to manage several projects/ task at a time (multitask)Ability to analyze and connect data from different sources, identifying issues and opportunitiesManage to work under high demand ambience.

　　If this is an opportunity that interests you, we encourage you to apply even if you do not meet 100% of the requirements.

　　What can you expect from us:

　　Opportunities to learn and develop every day through a wide range of programs.Internal digital platforms that promote self-learning.Development programs according to Leadership skills.Specialized training according to the role.Learning experiences with internal and external providers.We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.Financial wellness programs that will help you reach your goals in all stages of life.A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.And because your family is also important to us, they can also enjoy benefits such as our Wellness Line, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

　　We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We respect and value diversity as a work force and innovation for the organization.