BI Data Analyst (Tableau)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
BI Data Analyst (Tableau): Translating complex datasets into actionable insights for the company's AI-driven market forecasting solutions with an accent on Tableau dashboard development and SQL-based data transformation. Focus on building scalable ETL processes, optimizing data performance in BigQuery, and communicating data-driven findings to non-technical stakeholders.
Location: Wrocław, Poland
Company
is an AI-driven company leveraging Large Market Models (LMM) to provide real-time, data-driven forecasting solutions for the airline industry and beyond.
What you will do
- Develop and maintain complex reports and dashboards using Tableau and Tableau Prep.
- Build and manage ETL processes to integrate data from multiple diverse sources.
- Optimize SQL query logic, indexing, and joins to ensure performance on large-scale datasets.
- Collaborate with cross-functional teams to translate business requirements into actionable data solutions.
- Monitor and manage Tableau Server administration including user permissions and system performance.
- Present data-driven storytelling to non-technical audiences to support business decision-making.
Requirements
- Minimum 4 years of total experience in data analytics.
- At least 2 years of hands-on experience specifically with Tableau.
- Proficiency in SQL and working with complex datasets.
- Experience with ETL processes and data pipeline management.
- Degree in Economy, Statistics, Mathematics, or a related field.
- Strong communication and analytical storytelling skills.
Nice to have
- Experience with BigQuery and Dataform.
- Proficiency in Python data libraries like pandas, numpy, and plotly.
- Domain expertise in airlines, transportation, logistics, or travel industries.
Culture & Benefits
- Opportunity to work at the intersection of AI, big data, and business strategy.
- Exposure to cutting-edge Large Market Model technology.
- Environment focused on continuous learning and solving complex data problems.
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