Senior Product Analyst

2 semanas atrás


Lisboa, Portugal Tripadvisor Tempo inteiro

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand. At Tripadvisor, you are a part of a dynamic, fun and energetic team where you can immediately make meaningful contributions.

At Tripadvisor, the only thing we love more than travel is data. We use it to guide and inform our decision making and bring the best experience possible to our travelers. The Tripadvisor Product Analytics team is seeking a senior analyst who can partner with numerous stakeholder product teams, provide analytics and measurement expertise across key business categories, and contribute to a growing analytics team dedicated to generating high-quality, actionable data insights.

**What You'll Do**
- 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

**Skills & Experience**
- 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 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.
- Experience in working with large scale data in a must. 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
- Excellent data storytelling skills and ability to think about the business holistically as well as from the viewpoint of the customer
- Experience with building ETL, predictive modeling or machine learning experience is a plus
- A bachelor's degree in Computer Science, Information Systems, Mathematics, Business or other related fields.


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