Senior Data Analyst

Who We Are

Grain is a pioneering fintech startup based in the heart of Tel Aviv. We offer embedded cross-currency solutions tailored for software platforms and marketplaces. Grain was founded by seasoned entrepreneurs, formerly of financial institutions like Barclays, Deutsche Bank, as well as other renowned fintech startups. Grain is backed by leading venture capital firms and prominent financial institutions. At Grain, we offer an opportunity to shape the fintech landscape and be a part of a community that’s committed to excellence.

Role overview

We are seeking a talented and driven Senior Data Analyst to join Grain Finance as our first dedicated data analyst. In this pivotal role, you’ll become a domain expert in FX hedging and financial risk analysis, drive key insights, and shape the future of our data processes. You’ll work closely with cross-functional teams to influence decisions with data and make a significant impact on our growing company.

Key Responsibilities

• Own BI Systems:
• Design and develop intuitive dashboards and reports that deliver actionable insights for stakeholders across Product, Risk, and Finance. Take full responsibility for Grain’s BI tools and pipelines.
• Perform Advanced Analyses:
• Use Python and SQL to uncover trends, optimize strategies, and provide data-driven recommendations.
• Simulations & Risk Analysis:
• Develop and execute models and simulations to assess financial risks and inform hedging strategies.
• ML Monitoring:
• Monitor machine learning models performance and ensure continuous improvement.
• Collaborate Across Teams:
• Work closely with Product Managers, Engineers, and Risk Analysts to understand challenges and deliver data-driven solutions.

Required Qualifications

• 3+ years of proven experience in Data Analysis, ideally within fintech, trading, or related fields.
• Bachelor’s Degree in Statistics, Math, Computer Science, or a related field.
• Expertise in Python (including Pandas, NumPy) and SQL for data manipulation and analysis.
• Experience with BI tools (e.g., Tableau, Looker, Power BI).
• Proven ability to derive actionable insights from complex data sets and effectively present them to diverse stakeholders.
• Familiarity with financial risk analysis, simulations, or statistical modeling is a bonus.