Skip to content

Open nowPosted 44 days ago

Analytics Platform Engineer

PepsiCo2,594 open roles

Where
New York, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAnalytics Platform EngineerPepsiCo · New York, United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PepsiCo's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. PepsiCo postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 44 days ago

PepsiCo median: 1 days open

The posting

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against PepsiCo's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on PepsiCo's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    PepsiCo's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.