Responsibilities

• Data Analysis and Insight Generation
• Analyze data to identify trends, patterns, and insights that can drive informed business decisions.
• Provide actionable recommendations based on data analysis.
• Advise on test design (A/B, multivariate, etc.), analyze test results to measure the impact of Tripadvisor website changes, and make recommendations to stakeholders
• Tableau Dashboard Development
• Collaborate with various departments to understand their data visualization needs.
• Design and create visually appealing and user-friendly Tableau dashboards.
• Ensure the accuracy and efficiency of data presented in dashboards.
• Data Pipeline Management
• Build and maintain data pipelines to ensure the availability of accurate and up-to-date data.
• Troubleshoot data pipeline issues and optimize data flow for efficiency.
• Collaborate with data engineers to streamline data extraction, transformation, and loading (ETL) processes.
• Python Scripting
• Utilize basic Python scripting skills to automate data-related tasks and improve data pipeline efficiency.
• Documentation
• Document Tableau dashboards, data pipelines, and Python scripts for easy maintenance and knowledge sharing.
• Collaboration
• Collaborate effectively with cross-functional teams to gather requirements and deliver solutions.
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Qualifications

• Bachelor's Degree, with coursework in an analytical field (math, economics, engineering, statistics, etc) or quantitative research experience.
• 3+ years of experience in a data analyst position, demonstrating a strong foundation in business intelligence, data analysis and insights generation.
• Proficiency in SQL for efficient data querying, manipulation, and management to drive accurate and reliable analysis.
• Strong expertise in data visualization, leveraging tools like Tableau, to create impactful visualizations and effectively communicate insights. Tableau experience is a requirement.
• Strong proficiency in working with large datasets in cloud environments, utilizing tools like Snowflake to handle and analyze data at scale.
• Strong analytical and critical thinking abilities to unravel complex patterns and derive meaningful insights from data.
• Technical aptitude to learn new tools, technologies, and methodologies
• Ability to translate complex analysis findings into a clear narrative and actionable insights to communicate to stakeholders