Data Analyst
FetcherrPoland4 days ago
Full-timeInformation Technology
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Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
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:
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, 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.
- Experience with Python libraries such as pandas, numpy, matplotlib, or plotly.
- Domain knowledge in following industries: airlines, transportation, logistics or vacations
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