The Marketing Analytics team at Peloton is a full-stack team responsible for data, analytics, and predictive modeling to accelerate and optimize connected fitness membership growth across all marketing channels. The team consists of 3 functional areas: Analytics Engineering, Marketing Science, and Product Marketing Analytics.
Peloton is looking for a talented professional to join the Analytics Engineering function to build and maintain foundational data infrastructure essential to Peloton’s acquisition efforts.
Own acquisition data from end-to-end, including data ingestion, transformation, and visualization, and design our data architecture to ensure best-in-class operational reliability and modularity
Understand business context and translate stakeholder needs into ETL and dashboard requirements
Design, build, and maintain critical data pipelines and dashboards to ensure highly accurate and reliable business reporting
Monitor daily job execution as well as diagnose/fix issues to ensure SLAs are met with internal stakeholders
Identify data discrepancies and maintain transparent and up-to-date code to ensure business requirements and ETL logic match
Make data model and ETL code improvements to improve pipeline efficiency and data quality
Build Looker data models and modify views/explores to support reporting and analysis
Own data import/export pipelines
4-6 years experience in a data engineering, business intelligence, or technical data analytics role supporting marketing organizations.
Serious plus: Understanding of major marketing channels (e.g. TV, Facebook, YouTube, paid search) and underlying data feeds
Expertise in SQL and ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and 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, as well as 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
A high degree of motivation to be proactive and go above and beyond the task at hand
BS degree in Engineering, Computer Science, Math or a related technical field
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 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.