Senior Analytics Engineer

Remote

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Peloton

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ABOUT THE ROLE 

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.

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, 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.

YOU BRING TO PELOTON

  • 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

#LI-CS2 

#LI-Remote

ABOUT PELOTON:

Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, and Australia. Peloton makes fitness entertaining, approachable, effective, and convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, and media, Peloton reinvented the fitness industry by developing a first-of-its-kind subscription platform that seamlessly combines the best equipment, proprietary networked software, world-class streaming digital fitness and wellness content, and best-in-class fitness experts and Instructors.

At Peloton, we motivate the world to live better. “Together We Go Far” means that we are greater than the sum of our parts, stronger collectively when each one of us is at our best. By combining hardware, software, content, retail, apparel, manufacturing, Member support, and so much more, we deliver an exhilarating fitness experience that unlocks our members' greatness. Join our team to unlock yours.

Peloton is an equal opportunity employer and committed to creating an inclusive environment for all of our applicants. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you would like to request any accommodations from application through to interview, please email:  applicantaccommodations@onepeloton.com

Peloton has a COVID-19 vaccination policy to safeguard the health and well-being of our employees and customers globally. All employees based in the U.S. and Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.

Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address. 

If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.

 

Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Tags: Airflow AWS Business Intelligence Consulting Data Analytics ELT Engineering ETL FiveTran Git Looker LookML Pipelines Redshift SQL Streaming

Region: Remote/Anywhere
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