Published: March 25, 2019
Job Type
Level of education
Spoken Language needed
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:


Preen.Me is a Social Activation and Data Science Analytics company with a focus on the Consumer Packaged Goods (CPG) vertical and especially on beauty. We provide brands, private equity funds, and investment banks with consumer workups, based on deep customer insights. Our methodology uses a 360 approach for trend identification, pairing metadata analysis of the user-generated conversation together with qualitative and quantitative data gathered through surveys and focus groups to pinpoint trends.

We partner with some of the biggest brands in the world from the portfolios of Estee Lauder, L'Oreal, LVMH, and Coty, in the US, Europe and Asia. We also service some of the largest private equity firms in the world, who hire us for leveraging data-backed science to deploy results-driven data intelligence.

- Do you take pride in working hard and smart?
- Do you enjoy getting things done?
- Do you like bringing order to chaos?
- Do you get a kick out of helping other people succeed?
- Do you take joy in helping clients achieve their goals?

We are looking for a doer, someone eager to learn and to be part of a small and very ambitious team. The position will suit someone who loves to work on a range of tasks and be involved in different aspects of the company’s activities.

This is a service role that requires dedication, diligence, thought and hard work. We operate in multiple countries and continents and from time to time need to work at odd hours. We empower everyone in the company to work independently and grow within the organization. People who are both thinkers and doers excel at Preen.Me.

- Through our activities, we gather tons of cool data. The work includes; coming up with interesting questions, research, preparing reports, building and working with data, dashboards and helping promote the business with data analysis.


- Research capabilities
- Analytics focused
- Very organized
- Excellent written English
- Interest in marketing
- Ability to visualize and convey analytics
- Basic programming and SQL knowledge
- Database knowledge
- Presentation Skills
- Can work in a team
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