דרושים Data Analyst בתל אביב

**Who are we?

**Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data with performance media, enabling smarter decision-making, increased efficiency, and maximized returns - Revenue enabler for businesses around the world. Its partners include Google, Meta, Amazon, and Microsoft and more. ~$7 billion in ad spending is managed on the SkaiTM platform every year.

Established in 2006, We’re 700 employees strong. We work hybrid with a great home/ office work mix.

What will you do?

• Analyze large datasets and translate data into actionable insights for product and business improvements.
• Create data visualizations and presentations to communicate insights effectively.
• Identify and resolve data quality issues to ensure data accuracy and consistency.
• Identify trends, correlations, and anomalies in data to support decision-making.
• Evaluate the strategic impact of new data initiatives and work with business leaders to align them with company growth objectives.
• Answer critical business questions by mapping, tracing, analyzing, and visualizing data.
• Coordinate with data engineers and BI developers to gather new data points or create custom data frameworks for analysis.
• Communicate with cross-functional teams (Marketing, Sales, Finance, Product, Engineering) to define data needs and provide analytical support.

Requirements:

• BS/BA in a relevant field (Statistics, Industrial Engineering, Information Systems)
• Minimum 4+ years of experience as a data analyst
• Relevant experience from Global software companies
• Proficient in SQL capabilities
• Experience working with Python
• Experience querying Big data (Snowflake an advantage)
• Ability to analyze huge data sets effectively
• Strong problem-solving skills with a passion for data
• Previous experience as working as part of a team
• Ability to communicate complex data insights effectively
• Excellent communication skills
• Online marketing experience (an advantage)