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Associate Analytics Engineer

Peloton Interactive LogoPeloton Interactive
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The Enterprise Data team at Peloton works to help other internal groups to get the most out of their data. As an Analytics Engineer you’ll work with stakeholders to build models and serve as a thought leader on best practices around analysis. We are looking for a hard-working individual to join the team to build and maintain foundational data infrastructure crucial to gaining insights. 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 passionate 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.

Your Daily Impact at Peloton

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, supervise daily job execution, and diagnose/fix issues to ensure SLAs are met with internal stakeholders
  • Understand business context and support analysts/business collaborators in crafting and standardizing source-of-truth Looker Explores and Dashboards
  • Document work, prioritize data governance, and promote best practices

You Bring to Peloton

  • 2-4 years experience in an analytics engineering, data engineering, business intelligence, or technical data analytics role supporting a variety of business domains. Serious plus: You’ve worked at a SaaS company with a hardware component (or vice versa).
  • 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. 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 communication skills, particularly when explaining technical or complex matters to less technical co-workers

Base Salary: $112,400.00  to $146,100.00

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