Senior Manager, Marketing Analytics Engineering Lead

1 day ago


New York, New York, United States Peloton Full time
About the Role

The Marketing Analytics team at Peloton is a full-stack team responsible for data, analytics, and predictive modeling to accelerate and optimize global connected fitness membership growth across all marketing channels. As a Senior Manager, Marketing Analytics Engineering, you will lead our Marketing Analytics Engineering function, providing core reporting for marketing leaders globally. You will own the team's data from end-to-end, including data import/export, transformation, and visualization.

Your Daily Impact at Peloton
  • Lead an analytics engineering function that provides core reporting for marketing leaders globally.
  • Develop a team of successful and high-impact analytics engineers by coaching them on both technical and non-technical skills.
  • Understand business context and translate stakeholder needs into ETL and dashboard requirements.
  • Design new data architecture and revamp existing data architecture to ensure best-in-class operational reliability, pipeline efficiency, data quality, and architectural modularity.

You Bring to Peloton
  • 6-8 years of working experience in an analytics engineering, business intelligence, data engineering, or technical data analytics role supporting marketing or sales organizations.
  • Expertise in SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, and BigQuery.
  • Knowledge of AWS ecosystem/CLI and data ingestion tools.
  • Experience with building Looker data models and data pipeline management technologies.
  • Ability to use tools, business intuition, and impeccable attention to detail for data validation and QA.
  • Excellent communication skills, especially when distilling technical or complex matters into clear and concise explanations for senior leaders and less technical partners.
  • 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.


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