Product Analytics Team Lead

description

The Product TL will be responsible of the Product Analytics within eToro

He will work hand in hand with Product managers , decision makers , data science and Data engineering teams

 

Build a long-term vision for the team

Design and implement robust A/B testing 

Leverage data to drive growth, build understanding for how major product decisions will impact/cannibalize existing products

Mentor and grow future team members

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and

understand how our users

interact with our core products

Partner with Product and Engineering teams to solve problems and identify trends and opportunities

Inform, influence, support, and execute our product decisions

Mine massive amounts of data and extract useful product insights

Build/maintain reports, dashboards, and metrics to monitor the performance of our products

Manage development of data resources, gather requirements, organize sources, and support product launches while keeping

the team accountable and impactful

requirements

Genuine interest in going into the data to build theory and tell story from it

Strategic thinking and can drive the direction of the team

2+ years of experience in managing other team members in a formal or informal capacity

4+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product

management including experience with SQL or other programming languages

Experience initiating and drive projects to completion with minimal guidance

Experience communicating and representing results of analysis to senior leadership

4+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting

2+ years of experience communicating the results of analyses to leadership teams to influence the strategy

Preferred Qualifications

Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.

Understanding of statistical analysis, experience with packages, such as R, Python

Experience with large data sets (Big Data)

Israel office
location
R&D
department
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