Senior Data Analyst

PepsiCo Deutschland GmbH; Plano (TX); On-site; USD 110,700 - 185,250; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

Group life insurance

Retirement plan

Employee assistance program

Dependant care reimbursement accounts

Paid time off

Parental leave

Job summary

PepsiCo’s Data Management and Operations team is seeking an experienced data engineering leader to drive data requirements, model development, and cross-functional collaboration across Supply Chain, Finance, and Consumer channels. You will partner with senior leaders to shape analytics strategy and enable rapid, data-driven decision-making across PepsiCo’s global operations.

You will oversee data integration, governance and the modernization of the data stack, leveraging GenAI and cloud

Qualifications

• 8+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
• 6+ years’ work experience in Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or related domains.
• 4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to inform data model build out.
• Experience with datasets from POS aggregators such as IRI, Nielsen, Kantar, etc.
• Experience with structured/unstructured datasets and documenting requirements for technical teams.
• Strong grasp of emerging technologies in data and analytics (GenAI, LLMs, Databricks, cloud platforms) and their relevance to business initiatives.
• Exceptional presentation and storytelling skills to synthesize insights into narratives.
• Ability to bridge data engineering, business leadership, and cross-functional stakeholders.
• Experience supporting senior executives and large cross-functional organizations in planning and priority setting.
• Strong program and project management capability with risk tracking and delivery.
• Executive presence and discretion when handling sensitive information.
• Experience creating internal communications and engagement content; familiarity with Viva Engage or newsletters is a plus.

Responsibilities

• Discover, analyze, and scope data requirements and represent them in conceptual/logical models.
• Develop supply chain models using data from forecasts, inventory, logistics, production and other domains.
• Create high-level process models (data flows, swim lanes) for areas under analysis.
• Drive adoption of data, data science and BI across the business.
• Improve data quality against defined expectations.
• Analyze system data to identify patterns, exceptions and anomalies.
• Support strategic planning, roadmaps and cross-functional initiatives with leadership.
• Draft internal/external communications and support executive storytelling.
• Highlight platform launches and milestones to boost visibility and adoption.

Skills

Data analysis

Data profiling

Stakeholder communication

Executive storytelling

Program management

Cross-functional collaboration

Strategic planning

LLMs / GenAI usage

Education

Bachelor’s Degree in Supply Chain and/or Operations Management or Business Administration

Master’s degree (preferred)

Tools

Databricks

Azure

AWS

GCP

GenAI tools (Claude, ChatGPT, Copilot)

Job description

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.

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
• Increase awareness about available data and democratize access to it across the company

Responsibilities

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 senior leaders, 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.

Support the leadership team's strategic agenda, planning, and operating rhythm, and organizational communications, including newsletters, presentation, and executive storytelling, within a global digital product ecosystem.

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
• Partner with senior leadership to support the strategic agenda, planning cadence, roadmap, and prioritization of the data & analytics portfolio, coordinating cross-functional initiatives and tracking progress against key decisions
• Support executive and organizational presence across approved internal and external channels, including LinkedIn and internal collaboration platforms, through thoughtful content planning and drafting.
• Promote major wins, platform launches, product milestones, and success stories to improve visibility, adoption, and stakeholder confidence.

Compensation and Benefits:

• The expected compensation range for this position is between $110,700 - $185,250.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

• 8+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
• 6+ years’ work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, 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 in-form 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.
• Strong grasp of emerging technologies in data and analytics (e.g., GenAI, LLMs, Databricks, cloud platforms – Azure/AWS/GCP, and modern data stack tools), and ability to assess their relevance to business initiatives.
• Exceptional presentation and storytelling skills – able to synthesize complex analytical insights into clear, compelling narratives.
• Ability to connect the dots across technical, business, and strategic layers, acting as a bridge between data engineering, business leadership, and cross-functional stakeholders.
• Experience supporting senior executives, leadership teams, or large cross-functional organizations through strategic planning, business operations, program management, consulting, or equivalent roles.
• Strong program and project management capability, including planning, dependency management, risk tracking, decision management, and follow-through across large initiatives.
• Demonstrated executive presence, discretion, sound judgment, and ability to operate effectively with senior leaders and highly sensitive information.
• Experience creating internal communications, newsletters, leadership updates, social content, or engagement campaigns; familiarity with tools such as Viva Engage, newsletter platforms, or content analytics is a plus.

Education

• Bachelor’s Degree in Supply Chain and/or Operations Management or Business Administration 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.
• Skilled in stakeholder engagement and cross-functional collaboration, driving alignment across business units, technical teams, and leadership.
• Strategic thinker with experience supporting leadership decision-making, prioritizing initiatives, and aligning analytics outputs to key business KPIs and outcomes.
• Proficient in using LLMs and GenAI tools (e.g., Claude, ChatGPT, Copilot) to accelerate personal and team productivity — drafting, summarizing, analysis, and automating repetitive tasks

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

Please view our Pay Transparency Statement.