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Dealing Data Analyst
EToro
Bnei Brak, Tel Aviv District, IsraelOn Site
Original Job Summary
Overview
eToro is a trading and investing platform empowering users to invest, share, and learn. Founded in 2007, eToro is built around collaboration and investor education with 40 million registered users from 75 countries.
Role Summary
The Dealing Data Analyst will drive advanced analytics, AI integration, and process automation within the Dealing group. You will bridge traditional data analysis and intelligent automated solutions, working autonomously to identify opportunities, develop, and deploy innovative tools.
Responsibilities
- Identify business problems for AI and automation solutions.
- Build and maintain reliable data systems, AI tools, and automated tasks.
- Collaborate with cross-functional teams to enhance efficiency and accuracy.
- Integrate AI into core Dealing group processes to aid decision-making.
- Create automated checks, monitoring systems, and alerts for real-time responses.
- Document models, methods, and automation logic for clarity and maintainability.
Requirements
- Minimum 3 years' experience with data analysis emphasizing automation and AI.
- Advanced SQL skills for handling large datasets and automated tasks.
- Proficiency in Python for scripting and process automation.
- Demonstrable success in deploying automation and AI in business situations.
- Strong communication skills to present technical information to non-technical stakeholders.
- High proficiency in English (written and verbal).
- Self-driven, independent thinker with a strong 'get it done' attitude.
Nice to Have
Experience in fintech, online trading, or brokerage, along with an understanding of financial market dynamics and regulations.
Key skills/competency
- Data Analysis
- Automation
- AI Integration
- SQL
- Python
- Process Automation
- Fintech
- Innovation
- Data Systems
- Collaboration
How to Get Hired at EToro
🎯 Tips for Getting Hired
- Customize resume: Tailor with AI, SQL, and Python skills.
- Highlight achievements: Showcase automation and data projects.
- Research eToro: Understand the company culture and fintech trends.
- Prepare examples: Demonstrate problem-solving with data-driven results.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL query optimization techniques.
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Practice Python automation scripts.
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Study AI integration in data systems.
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Explore real-world automation case studies.
Behavioral Questions
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Describe handling multiple concurrent projects.
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Explain a time you solved data issues.
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Discuss autonomous decision-making in projects.
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Share experience communicating technical details.