Lead Data Analyst

Tel Aviv · Full-time · Senior

About The Position

Wibbitz is in hyperspeed growth mode and we’re looking for amazing talent to join our team. Wibbitz is changing the video landscape by empowering storytellers to create original videos that people love, quickly, easily and at scale. The Wibbitz platform’s patented text-to-video technology leverages AI capabilities like machine learning and natural language processing to power video for the world’s biggest brands including Bloomberg, Time Inc., CBSi, Reuters, USA Today, and Forbes.

We have been featured in TechCrunch, New York Times, Calcalist, The Marker and Globes, where you can learn more about our recent funding and our industry leading technology!


We are looking for an individual who is deeply passionate about data driven decisions, transforming raw data into clear actionable product and business insights. You will join the data analytics team of Wibbitz as the Lead Data Analyst. You will work closely with the company leadership and key decision makers to influence strategic decision, define business and operational requirements and deliver visibility for chosen KPIs. As part of your responsibilities you will manage the data architecture and bring in new technologies and techniques to keep Wibbitz a data driven company.   


Must Have 

5+ years of experience in data analysis or a similar background 

Exceptional ability and passion to understand data and to transform it into insights and recommendations 

Experience working with data analysis and reporting tools

Strong hands-on experience in working with datasets (SQL) and data pipeline

Knowledge of statistics and product evaluation (defining product analytics, funnel analysis, path analysis, cohort analysis) 

You must be a team player with a creative mind and excellent problem solver 

You need to have strong communication skills and ability to work in a fast-paced environment

Must be a quick learner and adaptable to new technologies

Nice to have 

Experience modeling data architecture  

Experience with BI tools (Tableau \ Qlik \ Sisense)

BA/BS degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, etc.) or equivalent practical experience 

Experience with modeling and machine learning tools

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