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Wix.com is a leading cloud-based development platform with millions of users worldwide. We make it easy for everyone to create a beautiful, professional web presence. Our work environment is one of the most unique places on the planet.
15 марта 2021

Data Analyst — Data Science team (вакансия неактивна)

Киев

We are:

Wix’s Business Analysis group. We’re 150+ analysts who strongly believe in using analytics to understand how our users interact with our product. With 200+ million users, we collect over a billion events a day — that’s 3TB of raw data added daily! We do it all using cutting-edge technology to store, process, and visualize our data, including tools we develop ourselves as well as tools like Presto, Tableau and Power BI.

We’re looking for a passionate Data Analyst to join our Data Science team.

You are:

A data, product or web analyst with high-level analytical and problem-solving skills and 4+ years of practical experience. You have a deep understanding of how online businesses work and what are the main approaches to analyze online customer behavior. You have excellent business judgment, strategic thinking, and problem-solving skills. You always take initiative and drive projects from beginning to end with minimal guidance.

You have experience in working with Tableau, quantitative analysis and are if you are fully proficient in SQL.

Bonus points if you have experience with Python and if you’re familiar with applications and basic principles of machine learning models.

As a Data Analyst at the Data Science team, you will:

See beyond numbers and take part in informing, influencing, supporting and executing Wix business decisions
Lead data and analytics projects and work closely with different teams across the company
Work with very large amounts of data and build tools to streamline the process
Communicate with various departments across Wix and do initial research on how the Data Science team can help them to overcome their challenges
Translate ML and AI models results to business metrics and insights
Research how users interact with model outputs
Explore new features to improve the models
Support all steps of model development with relevant stats and data samples
Help team members leverage data usage

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