Senior Analyst, Product

Summary

Join Tripadvisor's Product Analytics team as a Senior Analyst and partner with various stakeholder product teams. Leverage your expertise in analytics and measurement across key business categories. Contribute to a growing analytics team focused on generating high-quality, actionable data insights. Use clickstream, transactional, product, and marketing data to identify traffic sources and user engagement. Build and maintain data pipelines and dashboard reporting to enable stakeholder data access and key metric monitoring. Advise on test design and analyze results to measure the impact of site changes. Apply creative analytics approaches to understand customers and business performance. Tripadvisor offers a unique global work environment with the speed and innovation of a startup within a well-established brand.

Requirements

• 3-4 years of experience in a product analytics role for a well established company
• Deep expertise with SQL, Snowflake, ETL and Tableau (or similar business intelligence tools) is a must
• Experience in working with large scale data in a must
• Excellent data storytelling skills and ability to think about the business holistically as well as from the viewpoint of the customer
• A bachelor’s degree in Computer Science, Information Systems, Mathematics, Business or other related fields

Responsibilities

• Provide timely insights and analytics support to internal stakeholders (including product management, strategy, marketing, engineering, and finance teams) to make data-driven decisions
• Use clickstream, transactional, product, and marketing data to identify sources of traffic and which products, content and functionality users are engaging with
• Enable stakeholders to access data and monitor key business metrics by building and maintaining data pipelines and dashboard reporting
• Advise on test design (A/B, multivariate, etc.), analyze test results to measure the impact of site changes, and make recommendations to stakeholders
• Apply creative analytics approaches across the key business categories to gain a deeper understanding of our customers and holistic business performance

Preferred Qualifications

• Experience with Big Query, PostgreSQL, Hadoop/Hive, Python, R, and Looker is desirable
• Exposure to a self service analytics tool such as Mix Panel, Adobe, etc. is desirable
• Exposure to web/app clickstream, Salesforce data, B2B marketing data, CRM data, etc. are desirable
• Experience visualizing data for wide consumption, with Tableau experience or certification is a plus
• Experience with building ETL, predictive modeling or machine learning experience is a plus