Senior Data Analyst
פורסם לפני 6 ימים · 0 מועמדים
התפקיד במילים פשוטות
התפקיד כולל הובלת הניתוח האנליטי עבור מוצר B2C במרכז החדשנות של החברה, במטרה לקדם רכישת לקוחות, ביצועי שיווק וצמיחה עסקית. ביומיום התפקיד כולל עבודה עם סטים מורכבים של נתונים, הפקת תובנות עסקיות, ותרגום נתונים להחלטות בשיתוף פעולה הדוק עם צוותי Data Science, מוצר ושיווק תוך שימוש ב-SQL, כלי BI, מחסני נתונים מודרניים ו-Python.
- 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 business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms
- Experience working with modern data warehouse/data lake environments such as 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, automate insights generation, and support data-driven decision-making
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לאנליסטים מנוסים עם לפחות 5 שנות ניסיון בניתוח נתונים, שליטה גבוהה ב-SQL, כלי BI ו-Python, ויכולת עבודה עצמאית מול בעלי עניין עסקיים וטכניים. התפקיד פחות מתאים למי שמחפש משרה התחלתית או עבודה מרחוק באופן מלא.
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 business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms, Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery, Practical knowledge of Python for data analysis and automation workflows