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A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.

Join us. Dare for Better.

Job Description

As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team. You'll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way.

Responsibilities:

Discover, analyze, and scope data requirements & representing them in conceptual and logical data models

Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models. geographics, POS, pricing and promotion, store profile, e-commerce data to develop channel models.

Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis

Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.

Responsible to improve the quality of data in relation to defined expectations

Perform analysis of system data to identify patterns, exceptions, and erroneous data.

Qualifications:

6+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.

5+ years’ work experience in the areas of Integrated Business Planning, Demand Planning, Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc.

4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to inform data model build out.
Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc.

Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members.

Experience with Business Intelligence tools, SQLTools.

Experience with SAP and SAP/IBP is a plus

Education:

Bachelor’s Degree in Supply Chain and/or Operations Management is Required, Masters Preferred.

Competencies:

Strong knowledge and understanding of Supply Chain data elements and processes per the necessary in-scope data domain (i.e., Customer, Material, Vendor)

Ability to translate business requirements into critical data dependencies and requirements

Able to challenge and align various stakeholders to a common set of standards

Self-starter with excellent written & verbal communication skills.

Self-learner and eager to understand data, business processes, concepts, and technologies.