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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