Skai Product Data Analyst 

Israel, Tel Aviv District, Tel Aviv-Yafo 

531784614

Who are we?

• Skai (formerly Kenshoo) is a leading omnichannel marketing platform that uniquely connects data and performance media for informed decisions, high efficiencies, and optimal returns. Its partners include Google, Meta, Amazon Ads, TikTok, Snapchat, Walmart Connect, Instacart, Roundel, Criteo, CitrusAd, Pinterest, Microsoft, LinkedIn, Apple Search Ads, and more.
• We’re 700 employees strong and growing every day! ~$7 billion in ad spending is managed on the SkaiTM platform every year, driving hundreds of billions in commerce decisions and sales transactions.
• Established in 2006, we are a thriving organization, with a unique startup culture, an incredible track record of success, and an amazing future in sight!
• We are hybrid for the long term - with a great home/ office work mix, passionate and diverse team members, and a vibrant company culture.

The Product Analyst position at Skai

• Own all analytics aspects of a product area, take responsibility for the end-to-end analysis process, from data collection to presenting results to stakeholders.
• Analyze BIG data from various sources and turn it into information that can offer ways to improve/create product features, thus affecting company decisions.
• Analyze feature usage to support product decision making.
• Answer business questions by mapping, tracing, analyzing, and visualizing data.
• Support business/product users by identifying and mapping complex and new data sources.
• Coordinate the gathering of new data points or create new frameworks for analysis with data engineers and BI developers.

How do I know if it's the right job for me?

• If you are an experienced Product/Data Analyst (3+years).
• If you hold a BS/BA in a relevant field (Statistics, Industrial Engineering, Information Systems or related field).
• If you have strong data analysis skills as well as a good understanding of statistics.
• If you have an intuitive understanding of digital marketing, R&D products life-cycle, a strong grasp of business models and excellent analytical and problem-solving skills.
• If you have the passion and the ability to distill data into concise insights, business KPIs, and communication materials tailored to the audience.

Other qualifications and experience

• Strong SQL skills.
• Experience working with Python.
• Experience querying Big data (Snowflake an advantage).
• Ability to analyze huge data sets effectively.
• Online marketing experience (an advantage).
• Data enthusiast and a team player.
• Advanced level of English proficiency, both written and spoken.