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Senior Data Analyst at Grain

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Python, SQL, BI Tools, Financial Risk Analysis, Statistical Modeling, Data Manipulation, Data-Driven Recommendations, Dashboards, Reports, Machine Learning, Collaboration, Simulations, Trend Analysis, Optimization, Stakeholder Engagement

Industry

Financial Services

Description

About Us 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 such as 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. What You'll Do 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. What We're Looking For 5+ 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. Requirements null

Responsibilities

The Senior Data Analyst will design and develop dashboards and reports to provide actionable insights for various stakeholders. They will also perform advanced analyses using Python and SQL, develop financial risk models, and collaborate with cross-functional teams.