Senior Data Analyst
Role Overview
PepsiCo’s Data Management and Operations team maintains data collection, transportation, curation, quality, and access across the company.
The Senior Data Analyst serves as a business-process domain expert and translates business needs into data and analytics priorities for technical teams.
Key Skills for This Role
Full Job Posting
Role overview
PepsiCo’s Data Management and Operations team maintains data collection, transportation, curation, quality, and access across the company.
The Senior Data Analyst serves as a business-process domain expert and translates business needs into data and analytics priorities for technical teams.
Responsibilities
- Define and prioritize business needs across Supply Chain, Financial, Consumer, Channel, and Category domains.
- Translate business requirements into technical requirements for data engineering teams.
- Support strategic planning, roadmaps, operating rhythms, organizational communications, and executive storytelling.
- Discover and scope data requirements and represent them in conceptual and logical data models.
- Analyze data for forecasting, capital requirements, inventory, logistics, manufacturing, production capacity, POS, pricing, promotions, store profiles, and e-commerce.
- Create system interface, workflow, swim-lane, and data-flow diagrams.
- Increase adoption of data, data science, and business intelligence capabilities.
- Improve data quality and identify patterns, exceptions, and erroneous system data.
- Coordinate cross-functional portfolio initiatives and track progress against key decisions.
- Plan and draft internal and approved external content, including newsletters and LinkedIn updates.
- Promote platform launches, product milestones, and success stories.
Qualifications
- At least 8 years of relevant experience in data analysis, data profiling, project work, business requirements, or data engineering in CPG or manufacturing.
- At least 6 years of experience in supply chain, distribution, manufacturing, transportation, demand planning, or related domains.
- At least 4 years of data profiling experience identifying trends and anomalies for data model development.
- Experience with POS aggregator datasets such as IRI, Nielsen, or Kantar.
- Experience with structured and unstructured datasets and technical requirements documentation.
- Strong knowledge of data and analytics technologies, including GenAI, LLMs, Databricks, cloud platforms, and modern data-stack tools.
- Experience supporting senior executives or large cross-functional organizations through planning, operations, program management, consulting, or equivalent work.
- Strong program and project management capabilities.
- Bachelor’s degree in Supply Chain, Operations Management, Business Administration, or a related area.
Competencies
- Exceptional presentation and storytelling skills.
- Ability to connect technical, business, and strategic layers.
- Ability to align stakeholders around common data standards.
- Strong written and verbal communication skills.
- Strategic thinking and cross-functional stakeholder engagement.
- Proficiency using LLMs and GenAI tools such as Claude, ChatGPT, or Copilot.
Preferred qualifications
- Master’s degree.
- Experience creating internal communications, newsletters, leadership updates, social content, or engagement campaigns.
- Familiarity with Viva Engage, newsletter platforms, or content analytics.
Compensation and benefits
- The expected compensation range is $110,700 to $185,250.
- The annual performance bonus has a 12% target payout and is paid annually.
- Benefits may include paid time off, parental leave, medical, dental, vision, disability, reimbursement accounts, employee assistance, insurance, and a defined contribution retirement plan.
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