BI Trading Data Analyst

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.

We are seeking a highly skilled and detail-oriented Data Analyst/BI Developer to join our Trading BI Analyst team.

In this role, you will play a key part in shaping the analytical foundation that supports our trading operations. 

What will you be doing?

• Collaborate closely with trading stakeholders, data engineers, and fellow analysts to build, enhance, and maintain business-critical dashboards and reporting pipelines.
• Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools)
• Optimize SQL queries, backend data transformations, and overall system performance to ensure scalability and efficiency.
• Collaborate with trading and product teams to gather evolving business needs and translate them into accurate and actionable reporting logic.
• Identify and proactively resolve data anomalies and quality issues
• Transform complex data into meaningful insights that drive strategic decisions across the organization

• 3+ years of experience in data analysis or BI development.
• Strong SQL skills – including optimization and complex query building.
• Experience with BI tools such as Tableau, Power BI, Looker, Qlik, etc.
• Familiarity with data warehousing concepts (Snowflake, BigQuery, Redshift, etc.).
• Great at using Python to write scripts for managing data, making things happen automatically.
• Experience working with stakeholders to translate business logic into technical requirements.
• Proven ability to work with existing codebases/reports and improve performance or design.
• A true passion for driving efficiency with smart data, automation, and AI tools.
• Strong communication and presentation skills.
• High level of English proficiency, both written and verbal.

Nice-to-Have:

• Familiarity with Git or version control for reports.
• Experience with dbt or ETL orchestration tools (Airflow, Prefect).
• Background in fintech or trading environments – a big plus!