Analytics Platform Engineer

PepsiCo Inc.

New York (NY)

On-site

USD 82,000 - 136,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Medical
Dental
Vision
Disability insurance
Retirement plan
Employee Assistance Program (EAP)
Insurance

Job summary

PepsiCo is seeking an entry-level Analytics Platform Engineer for the Digital Commerce Analytics Platform. You will contribute to dbt infrastructure, CI/CD, Airflow orchestration, and metadata systems while learning AI-driven capabilities for insights.

You will work with senior engineers to build reliable platform tooling supporting data delivery and reporting teams, with opportunities to influence tooling choices and standards.

Qualifications

  • 1-2 years of experience (including internships, co-ops, or substantial academic/personal projects)
  • Familiarity with dbt or similar transformation frameworks
  • Familiarity with Apache Airflow or similar orchestration tools
  • Experience with CI/CD systems (GitHub Actions, Jenkins, or equivalent)
  • Exposure to BI platforms (Power BI, Tableau, or equivalent)
  • Exposure to large language models and their application to analytics workflows
  • Experience with version control (Git) and branching strategies
  • Familiarity with cloud data platforms (Snowflake, BigQuery, or Databricks)

Responsibilities

  • Develop and maintain the dbt project infrastructure including CI/CD workflows, project configuration, macros, and testing frameworks
  • Build and support Apache Airflow orchestration infrastructure, ensuring reliable scheduling, monitoring, and scalability
  • Maintain and evolve the CI/CD platform (GitHub Actions workflows, pre-commit hooks, automated validation)
  • Manage and administer the Power BI platform including workspace governance and deployment pipelines
  • Develop and maintain metadata collection systems for tracking pipeline health and model ownership
  • Define and enforce best practices, patterns, and conventions across data delivery and report delivery engineering teams
  • Support evaluation and prototyping of AI-for-BI capabilities, including AI insights
  • Research and evaluate emerging tools and technologies; present findings
  • Participate in build-vs-buy assessments and tooling decisions
  • Collaborate with engineering teams to identify platform gaps and deliver scalable solutions

Skills

dbt
Airflow
CI/CD
Git
BI platforms
LLMs for analytics
Cloud data platforms

Tools

Apache Airflow
GitHub Actions
Jenkins
Power BI
Tableau
Snowflake
BigQuery
Databricks

Job description

Overview

The Digital Commerce Analytics Platform team builds, maintains, scales, and evolves the analytics platform that powers data engineering, analytics engineering, and report/insight delivery across PepsiCo's Digital Commerce organization. This entry-level role will contribute to platform development - from dbt project infrastructure and CI/CD to orchestration, metadata systems, and emerging AI-driven capabilities. The Analytics Platform Engineer will work alongside senior engineers to deliver reliable, scalable platform tooling that delivery engineering teams depend on daily.

Responsibilities
  • Develop and maintain the dbt project infrastructure - including CI/CD workflows, project configuration, macros, and testing frameworks - that delivery engineering teams build upon
  • Build and support Apache Airflow orchestration infrastructure, ensuring reliable scheduling, monitoring, and scalability for data pipelines
  • Maintain and evolve the CI/CD platform (GitHub Actions workflows, pre-commit hooks, automated validation) that enforces quality and deployment standards
  • Manage and administer the Power BI platform - including workspace governance, capacity management, and deployment pipelines - to support report delivery teams
  • Develop and maintain metadata collection systems for tracking pipeline health, lineage, and model ownership
  • Define and enforce best practices, patterns, and conventions across data delivery and report delivery engineering teams
  • Support evaluation and prototyping of AI-for-BI capabilities, including automated insight generation using large language models
  • Research and evaluate emerging tools and technologies; present findings and recommendations to inform platform direction
  • Participate in build-vs-buy assessments and contribute to tooling decisions that delivery engineering teams depend on
  • Collaborate with engineering teams to identify platform gaps, gather requirements, and deliver scalable solutions
Compensation and Benefits
  • The expected compensation range for this position is between $79,800 - $136,100.
  • 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 5% 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
  • 1-2 years of experience (including internships, co-ops, or substantial academic/personal projects)
  • Familiarity with dbt or similar transformation frameworks
  • Familiarity with Apache Airflow or similar orchestration tools
  • Experience with CI/CD systems (GitHub Actions, Jenkins, or equivalent)
  • Exposure to BI platforms (Power BI, Tableau, or equivalent)
  • Exposure to large language models and their application to analytics workflows
  • Experience with version control (Git) and branching strategies
  • Familiarity with cloud data platforms (Snowflake, BigQuery, or Databricks)
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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Analytics Sr Analyst
Analytics Sr Analyst

PepsiCo Inc. • Plano (TX)

On-site
USD 104,000 - 174,000
Data Scientist
Data Scientist

PepsiCo • Plano (TX)

On-site
USD 80,200 - 134,250
Performance bonus
Medical, dental, vision benefits
Paid time off
+1
Analytics Sr Analyst
Analytics Sr Analyst

PepsiCo • Plano (TX)

On-site
USD 104,000 - 174,000
Medical benefits
Dental benefits
Vision benefits
+4
Lead AI Engineer
Lead AI Engineer

PepsiCo • Plano (TX)

On-site
USD 124,000 - 207,000
Medical, Dental, Vision
Paid time off
Bonus 15%
+1
Workplace Enablement Lead
Workplace Enablement Lead

PepsiCo • Plano (TX)

On-site
USD 124,000 - 207,000
Medical coverage
Dental coverage
Vision
MLOPS Tech Lead
MLOPS Tech Lead

PepsiCo • Plano (TX)

On-site
USD 127,000 - 170,000
Bonus opportunity (12% of annual pay)
Health benefits package
Paid time off and parental leave
Data Product Manager
Data Product Manager

PepsiCo • Chicago (IL)

On-site
USD 111,000 - 185,000
Medical benefits
Paid time off
Bonus eligibility
Lead AI Engineer
Lead AI Engineer

PepsiCo • Chicago (IL)

On-site
USD 124,000 - 207,000
Medical, Dental, Vision
Defined Contribution Retirement Plan
Paid time off & parental leave
Lead AI Engineer
Lead AI Engineer

PepsiCo • Purchase (NY)

On-site
USD 124,000 - 207,000
Medical, Dental, Vision
Disability Insurance
401(k) Retirement Plan
+1
Platforms & Solutions Principal
Platforms & Solutions Principal

PepsiCo • Plano (TX)

On-site
USD 111,000 - 185,000