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Product Analyst- Temporary Position at Scalian Inc
, , Israel -
Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

SQL, Data Analysis, Python, A/B Testing, Data Visualization, Statistical Knowledge, Communication Skills

Industry

IT Services and IT Consulting

Description
Join us! Browsi is searching for a product analyst to join our data team! This is a full-time and temporary position (Maternity leave replacement) with a possibility of transitioning to a long-term role. We are a SaaS technology offering a unique AI solution for leading global publishers, creating custom ad layouts in real time to boost revenue and optimize user experience. Our data team is in charge of product research and optimization, as well as providing data-driven solutions for the daily needs of the R&D, CS, sales, marketing and product teams. Responsibilities: Query and analyze large volumes of data to generate business and product insights Conduct product research to identify opportunities for product improvements Plan and lead A/B tests to evaluate new features in large scale Translate multidimensional data points to insightful dashboards used by the entire company Lead optimization of POCs with potential clients Work closely with the R&D, CS, presale and sale teams Requirements: B.Sc./B.A. in industrial engineering, system information, or other relevant field Excellent proficiency in using SQL for data querying Knowledge of data analysis in Python Strong written and verbal English communication skills Experience with a visualization tool - An advantage Statistical knowledge and understanding - An advantage Requirements null

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Responsibilities
The product analyst will query and analyze large volumes of data to generate business and product insights and conduct product research to identify opportunities for product improvements. They will also plan and lead A/B tests to evaluate new features and translate data points into insightful dashboards.