Senior Analytics Engineer

Peloton Interactive, Inc.
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Job Description

The Data Science team at Peloton works with many teams to get the most out of their data. As a Senior Analytics Engineer you’ll work with partners to build models the right way and serve as an inspiring leader on best practices around analysis. Peloton is looking for a talented individual to join the team to build and maintain foundational data infrastructure essential to gaining insights.


  • This hire will be instrumental in shaping the team’s technical direction and growth. We’re looking for someone who can:
  • Build and maintain ETL pipelines from third party sources (knowing the difference between ELT and ETL, and when each is appropriate)
  • Architect performant, accurate, and scalable data models using dbt and LookML using DRY (don’t repeat yourself) principles
  • Set up tests to ensure data quality, monitor daily job execution, and diagnose/fix issues to ensure SLAs are met with internal partners
  • Understand business context and support analysts/business partners in creating and standardizing source-of-truth Looker Explores and Dashboards
  • Document work, prioritize data governance, and evangelize best practices

At Peloton, we’ve invested in a modern data tech stack (Redshift, Fivetran/Stitch, Airflow, dbt, Looker) and a world-class data team. If you’re excited about using the best technology out there and being part of a growing team that values collaboration, proactivity, disciplined decision making, and knowledge sharing, we’d love to hear from you.


  • 4-6 years experience in an analytics engineering, data engineering, business intelligence, or technical data analytics role supporting go-to-market organizations.
  • Expertise in SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, as well as use of OSX command line and version control software (git). Plus: Knowledge of AWS ecosystem/CLI and data ingestion tools (e.g. Fivetran, Stitch)
  • Experience with building Looker data models (LookML), data pipeline management technologies with dependency checking (e.g. Airflow, dbt), schema design, and dimensional data modeling
  • Ability to leverage tools, business intuition, and attention to detail for data validation and QA
  • Excellent interpersonal skills, particularly when explaining technical or complex matters to less technical co-workers

Company Info.

Peloton Interactive, Inc.

Peloton Interactive, Inc. is an American exercise equipment and media company based in New York City. Peloton's main products are Internet-connected stationary bicycles and treadmills that enable monthly subscribers to remotely participate in classes via streaming media. Peloton charges a US$39 monthly membership fee to access classes and additional features on their exercise equipment, or $12.99 for users only accessing the content via app or we

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