התפקיד במילים פשוטות
תפקיד זה כולל הובלה אנליטית של מוצר B2C, ניתוח נתונים מורכבים והפקת תובנות עסקיות לעולמות השיווק וצמיחת העסק. בעל התפקיד יעבוד בשיתוף פעולה הדוק עם צוותי דאטה סיינס, מוצר ושיווק, וישתמש בכלים כמו SQL, פייתון ומערכות BI.
- 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams
- High proficiency in SQL, including working with large and complex datasets
- Strong experience with BI and visualization tools (Sisense, Tableau, Looker, or similar)
- Experience working with modern data warehouse/data lake environments (Snowflake, Clickhouse, Athena, or BigQuery)
- Practical knowledge of Python for data analysis and automation workflows
- Experience working in B2C or performance marketing environments
- Experience building and maintaining ETL processes
- Experience working closely with Data Science teams on experimentation and optimization initiatives
- Experience leveraging Agentic AI technologies to enhance analytics workflows
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לאנליסטים בעלי ניסיון של 5 שנים ומעלה בניתוח נתונים, שליטה חזקה ב-SQL וניסיון עם עבודה בסביבות דאטה מודרניות. הוא פחות מתאים למי שמחפש תפקיד ג'וניור או חסר ניסיון טכני בכתיבת קוד ועבודה עם בסיסי נתונים.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןThe trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.
Requirements: Experience & Technical Skills: • Professional Experience: 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. • SQL: High proficiency in SQL is required, including working with large and complex datasets. • BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. • Data Infrastructure: Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. • Python: Practical knowledge of Python for data analysis and automation workflows. • Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. • Execution: Ability to work independently, prioritize effectively, and drive data-informed decisions in a dynamic environment with tight deadlines. Key Advantages (Nice to Have): • Experience working in B2C or performance marketing environments. • Experience building and maintaining ETL processes . • Experience working closely with Data Science teams on experimentation and optimization initiatives. • Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data-driven decision-making. Good to know: • Our amazing offices are located in Rishon LeZion, at the iconic Millennium Tower (Tower 1000) • We work in a hybrid model: 3 days from the office and 2 days from home
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams, High proficiency in SQL, including working with large and complex datasets, Strong experience with BI and visualization tools (Sisense, Tableau, Looker, or similar), Experience working with modern data warehouse/data lake environments (Snowflake, Clickhouse, Athena, or BigQuery), Practical knowledge of Python for data analysis and automation workflows