Data Analyst- Tableau
Fetcherr, an AI company whose product delivers demand forecasting and pricing for airlines, is hiring a Data Analyst in Netanya to join its Insights & Decision Science team. Day to day: building Tableau reports and dashboards, writing SQL against large datasets, managing ETL pipelines, and turning AI pricing engine data into insights airline clients can act on.
- Compensation
- Not disclosed
- Location
- Netanya, Center District
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Excellent communication and storytelling skills to turn complex datasets into insights for non-technical audiences
- At least 2 years of experience in Tableau (Must), including building reports, creating dashboards, and working with Tableau Prep
- At least 4 years of overall experience in data analytics
- Team player, ready to support others and ensure deadlines are met
- Proficient in SQL
- Experience working with ETL processes, integrating data from multiple sources
- Confident working with large-scale datasets; optimize query logic, indexes, and joins for performance
- Strong analytical skills to break down ambiguous problems into actionable solutions
- B.Sc. or Master's degree in Economy, Statistics, Mathematics, or a related field
- Experience with Tableau Server administration (user management, performance monitoring, troubleshooting)
- Eager to continuously learn and adapt to new challenges
Nice to have
- BigQuery and Dataform experience
- Experience with Python libraries such as pandas, numpy, matplotlib, or plotly
- Domain knowledge in airlines, transportation, logistics, or vacations
Full 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.
At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up).
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