Data Analyst

eToro has created an intuitive Social Trading platform that gives traders and investors access to global stock markets, commodity trading, cryptocurrency trading, and more. We strive to make money management available and accessible to everyone (even to users with no prior experience or knowledge). We have over 33 million users worldwide, and our platform is available in over 140 countries around the world.

With over 1500 employees worldwide, we are constantly growing and expanding into new markets.

We are seeking a skilled technical data analyst.

The ideal candidate will join a tech centric team within our BI & Data Analytics department. We are responsible for developing eToro’s business intelligence architecture and data analytics infrastructure.

This role is suitable for people that are highly motivated to solve technical problems and overcome data related challenges. You must have a “can-do” attitude, and share our determination to tackle complex issues with creativity and persistence.

Key Responsibilities:

Design, develop and maintain our data analytics infrastructure: we start at the beginning with data pipelines and transformation processes, and go all the way up to an optimized analytical layer (dimension tables, panel tables, etc.).

Build and optimize data pipelines and architectures in cloud based systems.
Implement data governance and data quality frameworks.
Perform data profiling and data cleansing to ensure data integrity.
Automate repetitive data tasks to improve efficiency and reduce manual effort.
Conduct performance tuning and optimization of processes.
Document and maintain comprehensive documentation for data processes and systems.
Collaborate with analysts to support advanced analytics.
Develop and maintain dashboards and reports using Tableau.

Requirements:

At least 2 years of experience as a Data Analyst, BI Developer or a similar role.
Highly proficient in SQL, with a strong understanding of technical aspects such as indexes and partitions.
Experience with Tableau or other data visualization tools is a must.
Experience with Databricks Platform is a strong advantage.
Experience with Microsoft Azure Data Lake is a strong advantage.
Knowledge of Python is an advantage. You must have the willingness and ability to learn independently if not already proficient.
Strong communication and presentation skills, with a strong proficiency in English, both written and verbal.
Can-do attitude, with a problem-solving approach.
Ability to work independently and as part of a team.

Sub Department:
BI