Job Overview

Location
Plano,, Texas
Job Type
Full Time
Date Posted
22 days ago

Additional Details

Job ID
24502
Job Views
164

Job Description

What PepsiCo Data Management and Operations does:

  • Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
  • Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
  • Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders

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

Compensation & Benefits:

  • The expected compensation range for this position is between $115,000 - $197,500 based on a full-time schedule.
  • Location, confirmed job-related skills and experience will be considered in setting actual starting salary.
  • Bonus based on performance and eligibility; target payout is 10% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.

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.

Education:


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.


Qualification

Any Graduate

Experience Requirements

fresher experience

Location

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