Senior Analytics Engineer, Revenue Analytics Engineering
New York City
The newly formed Revenue Analytics Engineering team at Peloton is responsible for core data and reporting that drives Connected Fitness-related sales across a variety of go-to-market channels (e.g. E-Commerce, Retail, Inside Sales, Partnerships) and business lines (e.g. Bike, Tread, Accessories, Apparel). Peloton is looking for a talented individual to join the team to build and maintain foundational data infrastructure essential to accelerating and optimizing acquisition efforts across the Revenue organization.
This will be the first Analytics Engineering hire on this team, and 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 stakeholders Understand business context and support analysts/business stakeholders 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 utilizing 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. Serious plus: Understanding of data feeds coming from various tools used by sales teams (e.g. Salesforce, Drift Chat, Talkdesk, Booking Bug, Marketo) and/or retail businesses (e.g. SAP, Netsuite, Shopify) 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 communication skills, particularly when explaining technical or complex matters to less technical co-workers
Peloton uses technology + design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. We have reinvented the fitness industry by developing a first-of-its-kind subscription platform. Seamlessly combining hardware, software, and streaming technology, we create digital fitness and wellness content and products that Members love. In 2020 Peloton committed to becoming an antiracist organization with the launch of the Peloton Pledge. Learn more, here.
“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. In order to be the best version of Peloton, we are deeply committed to building a diverse workforce and inclusive culture where all of our team members can be the best version of themselves. This work has no endpoint; it is the constant work of running an organization that strives to reach its full potential. As a first step in our commitment, we announced the Peloton Pledge to invest $100 million over the next four years to fight racial injustice and inequity in our world, and to promote health and wellbeing for all, from the inside out. 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: email@example.com
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