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    Senior Analytics Engineer - New York, United States - Peloton Interactive

    Peloton Interactive
    Peloton Interactive New York, United States

    Found in: beBee S2 US - 2 weeks ago

    Default job background
    Full time
    Description

    ABOUT THE ROLE

    The Enterprise Data team at Peloton works with many teams to get the most out of their data. As an Analytics Engineer you'll work with stakeholders to build models the right way and serve as a thought leader on standard methodologies around analysis. Peloton is looking for a versatile individual to join the team to build and maintain foundational data infrastructure crucial to gaining insights.

    YOUR DAILY IMPACT AT PELOTON

    This hire will be instrumental in crafting the team's technical direction and growth. We're looking for someone who can:

  • Architect performant, accurate, and scalable dimensional 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
  • Troubleshoot, diagnose, and resolve issues with data pipelines urgently and thoroughly
  • Understand business context and support analysts/business stakeholders in crafting and standardizing source-of-truth Looker Explores and Dashboards
  • Detail your designs, prioritize data governance, and promote best practices
  • At Peloton, we've invested in a modern data tech stack (Redshift, Airbyte, 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 teamwork, proactivity, disciplined decision making, and knowledge sharing, we'd love to hear from you.

    YOU BRING TO PELOTON

  • 5-7 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 with subscription and/or ecommerce based business models)
  • Demonstrated experience helping teams streamline and scale with improvements to technical design, code review, and analytics architecture
  • 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 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 sophisticated matters to less technical co-workers
  • Ability to document design and technical specifications in a clear and concise way.

    [#LI-HYBRID]

    [#LI-TP2]
    Peloton Interactive focuses on Hardware, Retail, Fitness, Video Streaming, and Android. Their company has offices in New York City. They have a very large team that's between employees. To date, Peloton Interactive has raised $1.041B of funding; their latest round was closed on August 2018 at a valuation of $4.125B.
    You can view their website at or find them on Twitter, Facebook, and LinkedIn.

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