Data Analyst

Location: Tel Aviv, Israel (IL)

Experience Level: Advanced (5-8 Years)

Description

Rapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.

We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.

Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, Twitter

Rapyd is looking for a Data Analyst to join our data analytics team and take a leading role in shaping data-driven decisions across the company. This is a true all-around role: you'll move fluidly from recurring reporting to complex, open-ended analyses, owning initiatives end to end - from problem definition and data exploration to insights and recommendations. You'll partner closely with teams across the company, including Product, Operations, R&D, Finance, Marketing, Risk, Compliance, Sales, and senior leadership. As a trusted data partner, you'll help stakeholders navigate ambiguous questions, challenge assumptions, and make informed decisions that directly impact Rapyd's strategy and performance.

What you’ll do

• Lead complex data analyses to drive strategic business decisions
• Translate ambiguous business questions into clear analytical frameworks
• Build and maintain scalable dashboards, reports, and data models
• Identify trends, risks, and opportunities from large, complex datasets
• Present insights and recommendations clearly to senior stakeholders
• Define and uphold analytical standards across the team

Requirements

• 3+ years of experience as an analyst in a high-tech environment
• SQL and Python as core working languages
• Hands-on experience with BI and data visualization tools (Looker is a plus)
• Strong analytical thinking with the ability to turn data into actionable insights
• Ability to juggle multiple priorities in a fast-paced, dynamic setting
• Strong storytelling skills with a high level of ownership
• Excellent communication skills and fluent English

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