Direct employment by the client — you'll be a company employee from day one. What if your next analysis could shape the way a B2C company grows? If you're passionate about turning complex data into meaningful business impact, this opportunity might be exactly what you're looking for. Central Israel, Hybrid: 3 days in the office | 2 days from home We're hiring a Senior Data Analyst In this role, you'll take the analytical lead on a fast-growing B2C product, partnering closely with Product, Marketing, Data Science, and Business teams to drive customer acquisition, optimize performance, and support strategic growth. What you'll be doing: • Analyze customer behavior, acquisition funnels, and marketing performance. • Lead deep-dive analyses and A/B testing initiatives. • Build dashboards and visualizations that drive business decisions. • Work with large-scale datasets and modern data platforms. • Collaborate closely with cross-functional teams to transform data into measurable business impact.
Requirements:
• 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: •• We work in a hybrid model: 3 days from the office and 2 days from home
• 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: •• We work in a hybrid model: 3 days from the office and 2 days from home
This position is open to all candidates.
