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Peloton // connected indoor fitness cycles
 
Engineering, Full Time    New York City    Posted: Monday, August 01, 2022
 
   
 
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JOB DETAILS
 

ABOUT THE ROLE

The Marketing Analytics team at Peloton is a full-stack team responsible for data, analytics, & predictive modeling to accelerate & optimize subscription growth across all marketing channels. The team consists of 3 functional areas: Analytics Engineering, Advanced Analytics, & Go-to-Market (GTM) Performance.  

Peloton is looking for a dedicated Analytics Engineer to join our Analytics Engineering team to build & maintain foundational data infrastructure crucial to growing & scaling our acquisition marketing efforts! In this role, you will own significant portions of our marketing data from end-to-end, including data ingestion, transformation, & visualization, & design our data architecture to ensure outstanding operational reliability & modularity.

This role will report into the Senior Manager of Marketing Analytics Engineering. The ideal candidate combines eye for business & communication skills with technical skills, & has experience translating business needs into technical requirements to ultimately deliver performant, accurate, & scalable data models. 

YOUR DAILY IMPACT AT PELOTON

  • Connect with internal stakeholders to understand business context & build data infrastructure that satisfies business needs
  • Design, build, & maintain critical data pipelines & dashboards to ensure highly accurate & reliable business reporting
  • Supervise daily job execution as well as diagnose/fix issues to ensure SLAs are met with internal partners
  • Identify data discrepancies & maintain clear & up-to-date code to ensure business requirements & ETL logic match
  • Make data model & ETL code improvements to improve pipeline efficiency & data quality
  • Contribute to our Looker data models by creating & maintaining new & existing Explores/Views
  • Own data import/export pipelines

YOU BRING TO PELOTON

  • Education or work experience in Engineering, Computer Science, Math or a related technical field
  • 3+ years of working experience in an analytics engineering, business intelligence, or technical data analytics role
  • Experience with SQL & ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and/or Redshift
  • Command-line experience & familiarity with version control software (git)
  • Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design & dimensional data modeling tools (dbt)
  • Experience with data visualization technologies, such as Looker or Tableau
  • Experience in LookML Development
  • Experience with Python, data ingestion tools (such as Fivetran, Stitch, Alooma, or Matillion), & the AWS ecosystem (Redshift, S3, Spectrum)
  • A high degree of motivation to be proactive & go above & beyond the task at hand
  • Ability to demonstrate tools, business intuition, & attention to detail for data validation & QA
  • Excellent communication skills, particularly when explaining technical or sophisticated matters to less technical co-workers
  • Experience working with digital & offline media data (such as Facebook, Google, programmatic, tv, streaming audio) & an understanding of digital marketing measurement concepts (ie. Multi-touch attribution)

#LI-SW1

ABOUT PELOTON:

Peloton is the leading interactive fitness platform globally, with a passionate community of 7 million Members in the US, UK, Canada, Germany, & Australia. Peloton makes fitness entertaining, approachable, effective, & convenient, while fostering social connections that motivate its Members to commit to their fitness journeys. An innovator at the nexus of fitness, technology, & 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 & wellness content, & best-in-class fitness experts & 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, & 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 & 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 & well-being of our employees & customers globally. All employees based in the U.S. & Canada are required to provide proof of vaccination, unless the employee has a Peloton-approved reasonable accommodation or as otherwise required by law.
 
 
 
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