Data Analyst

A high-tech company in the field of smart commerce and marketing platform that has developed a digital marketing platform allowing brands to gain insights, make decisions, and execute strategic moves leading to higher quality, faster, and more accurate campaign results.

The platform includes a suite of data-based products that provide market intelligence, multi-channel media activation, and campaign performance testing and measurement. This enables product, research, and marketing teams to precisely plan strategies and benefit from multi-channel launches. The suite of tools offered by the company allows unifying data and helping companies better understand their customers in real time.

The company is located in Tel Aviv, operating a hybrid work model with 2 days of remote work. It has 700 employees and 12 offices worldwide, serving over 2,000 top brands and advertising agencies in over 180 countries.

Responsibility

• Analyze Big data and turns it into information that can offer ways to improve a business product, thus affecting company decisions.
• Gather information from various sources and interpret patterns and trends.
• Evaluate the strategic path of new data projects, and work with the technical and business management in analyzing new initiatives to support the company's growth.
• Answer business questions by mapping, tracing, analyzing, and visualizing data.
• Support business/product users by identifying and mapping complex and new data sources.
• Identify any data quality issues in data acquisition.
• Coordinate the gathering of new data points or create new frameworks for analysis with data engineers and BI developers.

Requirements

• 4 years of experience as a data analyst.
• Possesses strong data analysis skills, proficiency in SQL and Python programming, and a solid understanding of statistics.
• Demonstrates an intuitive understanding of digital marketing, R&D product life cycles, business models, and statistics, along with excellent analytical and problem-solving skills.
• Exhibits a passion and capability for distilling data into concise insights, business KPIs, and communication materials tailored to the audience.
• BS/BA in a relevant field (Statistics, Industrial Engineering, Information Systems; MA/PhD is an advantage).
• Proficient in SQL capabilities.
• Experienced in working with Python.
• Skilled in querying Big data
• Effective in analyzing large data sets.