O'Reilly's digital commerce product team needs a data and analytics expert to build the foundation for data-driven decision making, ensuring that GA4, tagging, and data collection strategies deliver clean, consistent, and actionable insights.
Requirements
- Hands-on experience with GA4 event tracking, Google Tag Manager (GTM), and data layer design.
- Strong understanding of ecommerce KPIs (conversion, funnel metrics, retention, etc.) and how to measure them.
- Proficiency with SQL, BigQuery, or other query languages to analyze large datasets.
- Experience with dashboarding/visualization tools (Looker Studio, Tableau, Power BI).
- Exposure to digital analytics tools such as FullStory, Mixpanel, or Amplitude.
- Familiarity with data governance and QA best practices in ecommerce analytics.
- Strong collaboration skills with the ability to work effectively with product managers, engineers, and analytics partners.
Responsibilities
- Designs and defines tracking and tagging requirements for ecommerce features, ensuring alignment with business goals and KPIs.
- Partners with engineering to implement and manage the GA4 data layer, ensuring accuracy, scalability, and consistency.
- Conducts validation, testing, and QA of GA4 and GTM event tracking to maintain confidence in data quality.
- Develops documentation and tagging standards to ensure consistency across O’Reilly’s digital commerce ecosystem.
- Translates product and business questions into data specifications, queries, and reporting requirements.
- Provides insights into user behavior, funnel performance, and site interactions using GA4 and supplemental tools (e.g., FullStory).
- Partners with business analytics teams to ensure ecommerce KPIs are tracked and reported accurately.
Other
- Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related field.
- Strong collaboration skills with the ability to work effectively with product managers, engineers, and analytics partners.
- Detail-oriented with proven ability to ensure data accuracy and integrity.
- You’re a hands-on data analyst who thrives on digging into data, validating it, and ensuring accuracy.
- You enjoy bridging product and engineering teams by translating business questions into clear tracking and reporting requirements.
