Data Analyst in Algorithms Group
Tel Aviv
Taboola
Reach 600M Daily Active Users and Achieve Conversions at Scale with the World's Leading Native Advertising PlatformCurious about what it’s like to work at the world’s number 1 discovery platform as a Data Analyst in Algorithms Group? We’re glad you asked!
Taboola, the world’s largest content recommendation platform, is hiring a Data Analyst in Algorithms Group.
At Taboola, we currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our Taboolars have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
- Analyze big data and generate useful conclusions and actionable recommendations, driving our algorithm development and business efforts forward
- Define and implement advanced analysis tools using a variety of means such as Python, Tableau and Grafana
- Own and manage multiple data initiatives and projects both on an ongoing and an ad-hoc basis
- Devise new approaches of data analytics and in-depth statistical analysis while dealing with issues never dealt with before
What are the skills a good Data Analyst in Algorithms Group needs to have?
- Exceptional ability to understand data and to transform it into insights
- BA/BSc or equivalent related experience in statistics, data analysis, data mining. MSC - an advantage
- 3+ years experience working in a Data Science / Data Analysis / Product Analysis / BI position in a high data-rich environment
- Proven experience in SQL, preferably using big-data database such as Google BigQuery
- Coding experience in Python (preferred) or other scripting languages such as R or Matlab
- Familiarity with statistical modeling and analysis techniques
- Fast learning capabilities and proven ability to multitask – working on several projects at a time
- Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams
It would be great if you also have:
- Familiarity with Machine learning concepts – a big advantage
- Experience with BI tools (Tableau or Qlik) – an advantage
- Experience in reviewing data-science related articles and convert them into practical research or working products – an advantage
- Experience in internet/mobile companies – an advantage
- Experience in software development / background in computer science
Why Taboola?
- Taboola is the world’s leading recommendation platform reaching over 500 million daily active users. We’re growing rapidly, and have recently gone public on the NASDAQ.
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.”
If you ask our employees what they love about Taboola they will tell you that here, they are able to discover their best professional selves, explore where they can grow to, and learn from and together with smart and talented people.
At Taboola, we pride ourselves in making an impact on how people consume content across the world, a culture of transparency, passion, and a diverse, inclusive and friendly work environment.- You can get to know us more by visiting our company website, careers site, Taboola Life blog and social media channels; Facebook, Instagram, Twitter and LinkedIn
Want to learn more about us, you’re welcome to watch the latest News article about Taboola
Sounds good, how do I apply?
It’s easy, submit your CV by clicking the “Apply” button below.
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data BigQuery Computer Science Data analysis Data Analytics Data Mining Grafana Machine Learning Matlab Python Qlik R Research SQL Statistical modeling Statistics Tableau
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