Dealing Data Analyst
eToro
Dealing Data Analyst
- Trading
- Tel Aviv District
- Senior
- Full-time
Description
eToro is the trading and investing platform that empowers users to invest, share, and learn. We were founded in 2007 with the vision of a world where everyone can trade and invest simply and transparently. We have created an investment platform that is built around collaboration and investor education. On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies, and benefit from shared knowledge. We have 40 million registered users from 75 countries, and our platform is available in 20 languages. eToro is an innovative, fast-growing business and is listed on Nasdaq in May 2025. We have over 1,500 employees across more than 10 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here.
Be a part of the evolution of the Dealing group's analytical capabilities by driving advanced analytics, AI integration, and process automation. This job is for someone who can effectively bridge between traditional data analysis and intelligent, automated solutions. Operate with significant autonomy to identify opportunities, develop, and deploy innovative tools.
What will you be doing?
- Search for business problems where AI and automation could help and figure out how to put those ideas into action.
- Build and maintain reliable data systems, AI tools, and automated tasks. Make sure they are solid and scalable.
- Work on projects with cross-functional teams to use AI and automation tools to increase efficiency, accuracy, and operational outcomes. Turn manual work into smart systems.
- Find ways to bring AI into core Dealing group processes, assist with decision-making, and improve results.
- Stay up-to-date with the latest trends and best practices in data analysis, AI, and automation methods.
- Create automated checks, monitoring systems, and alerts to ensure real-time response to new business conditions.
- Document all developed models, methods, and automation logic to ensure clarity and maintainability.
Requirements
- At least 3 years of experience working with data, with a focus on using automation and AI.
- Very good at using SQL to handle large amounts of data, thinking about how to make data work well with automated tasks.
- Great at using Python to write scripts for managing data, making things happen automatically.
- Proven track record of creating automation and using AI in real business situations.
- A true passion for driving efficiency with smart data, automation, and AI tools.
- A self-learner and independent thinker with a 'get it done' attitude. Able to handle pressure and multitask effectively.
- Strong communication and presentation skills, with the ability to convey complex technical information to non-technical stakeholders.
- High level of English proficiency, both written and verbal.
- Nice to Have: Experience in fintech, online trading, or brokerage, demonstrating an understanding of financial market dynamics and regulations.