Data Analyst

A tech company that has developed a platform for monitoring and measuring online media to prevent illicit activities. This includes identifying fake news, controversial content changes, and digital fraud. The company's code runs on billions of different advertisements daily, utilizing various Big Data technologies to analyze massive amounts of content in real-time.

The company's goal is to make the online world safer and more transparent for the world's largest brands. They believe that by using their platform, they not only serve brands but also contribute to making the digital world a slightly safer place.

The company is located in Tel Aviv near a train station, follows a hybrid work model with three days in the office, and has a global workforce of over 1000, with around 130 in Israel.

Responsibilities

• Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations.
• Defining, calculating and evaluating success metrics.
• Communicating state of business, experiment results, etc. to product & development teams.
• Monitoring key product metrics & system health, conducting root cause analyses.
• Asking business and product-relevant questions and answering them with data.
• Partnering with Operations & Engineering teams to improve process efficiencies
• Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues.

Requirements-

• BA/BSc degree in a quantitative field.
• 4 years of full-time working experience in quantitative analysis roles.
• Hands-on experience with SQL, Python (for data manipulation), and any data analysis tool, such as Looker.
• Excellent understanding of statistics (e.g., hypothesis testing, regression types).
• Experience working with a product team on data-driven decisions
• Good product sense - show ability to understand the analytics tasks' context, goals, and implications.
• Capable of working simultaneously with many different stakeholders in several geographies.
• Excellent verbal and written communication skills.