The Marketing Analytics team at Peloton is a full-stack team responsible for data, analytics, and predictive modeling to accelerate and optimize subscription growth across all marketing channels. The team consists of 3 functional areas: Measurement and Investment Optimization, Growth Analytics, and Analytics Engineering.
Peloton is looking for a dedicated Analytics Engineer to join our Analytics Engineering team to build and maintain foundational data infrastructure crucial to growing and 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, and visualization, and design our data architecture to ensure outstanding operational reliability and modularity.
This role will report to the Senior Manager of Marketing Analytics Engineering. The ideal candidate combines business acumen and communication skills with technical skills, and has experience translating business needs into technical requirements to ultimately deliver performant, accurate, and scalable data models.
YOUR DAILY IMPACT AT PELOTON- Connect with internal stakeholders to understand business context and build data infrastructure that satisfies business needs
- Design, build, and maintain critical data pipelines and dashboards to ensure highly accurate and reliable business reporting
- Supervise daily job execution as well as diagnose/fix issues to ensure SLAs are met with internal stakeholders
- Identify data discrepancies and maintain clear 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
- Contribute to our Looker data models by creating and maintaining new and existing Explores/Views
- Own data import/export pipelines
- Education or work experience in Engineering, Computer Science, Math or a related technical field
- 3+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
- Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and/or Redshift
- Command-line experience and familiarity with version control software (git)
- Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and 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), and the AWS ecosystem (Redshift, S3, Spectrum)
- A high degree of motivation to be proactive and go above and beyond the task at hand
- Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA
- Excellent communication skills, particularly when explaining technical or sophisticated matters to less technical co-workers
- Experience working with digital and offline media data (such as Facebook, Google, programmatic, tv, streaming audio) and an understanding of digital marketing measurement concepts (ie. Multi-touch attribution)
Base Salary: $117,700.00 to $152,900.00
The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance and so much more!
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