תיאור המשרה
Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We’re looking for a Data Analyst with expertise in Tableau to join our growing data analytics team. This role is perfect for someone who thrives on turning data into actionable insights and enjoys working at the intersection of business and technology. Requirements You have excellent communication and storytelling skills to transform complex datasets into meaningful insights for non-technical audiences. You have at least 2 years of experience in Tableau(Must), including building reports, creating dashboards, and working with Tableau Prep and overall at least 4 years of experience in data analytics You’re a team player, ready to support others and ensure deadlines are met. You are proficient in SQL (BigQuery and Dataform experience is a plus) and have experience working with ETL processes, integrating data from multiple sources. You are confident working with large-scale datasets and understand how to optimize query logic, indexes, and joins for performance. You possess strong analytical skills and can break down ambiguous problems into actionable solutions. You hold a B.Sc. or Master’s degree in Economy, Statistics, Mathematics, or a related field. You have experience with Tableau Server administration (e.g., user management, performance monitoring, and troubleshooting). You are eager to continuously learn and adapt to new challenges. Nice to have: Experience with Python libraries such as pandas, numpy, matplotlib, or plotly. Domain knowledge in following industries: airlines, transportation, logistics or vacations
