Sr Data Analyst

at  PepsiCo

Overview:
PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT.
The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics and new product development. PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

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:

ACCOUNTABILITIES:

• 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.

EDUCATION:

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

Please refer the Job description for details