Data Operations Analyst

2 weeks ago

Tel Aviv, Tel Aviv, Israel Bounce Full time ₪120,000 - ₪180,000 per year

Description
The Data Operations Analyst will be a key partner to our sales organization - streamlining processes, ensuring data accuracy, and unlocking insights that drive revenue growth.

You'll blend operational excellence with data-driven problem-solving to help the sales team work smarter, move faster, and scale effectively.

About Us
Bounce is a fintech startup revolutionizing debt management for consumers and creditors with our best-in-class product. By leveraging the power of AI and automation, we create user-friendly experiences that drive positive outcomes for all parties involved. With a team based in Tel Aviv and New York, we have been growing rapidly, supporting hundreds of thousands of consumers on their journey to financial resilience and building partnerships with top creditors and fintech companies.

How You'll Spend Your Time

  • CRM Management & Data Hygiene: Manage and maintain our proprietary system, ensuring clean, accurate, and structured data to support forecasting, reporting, and customer record reconciliation.
  • Workflow Automation: Design and implement workflows and automations that streamline sales processes, improve efficiency, and reduce manual effort.
  • Reporting & Data Analysis: Use Excel, SQL, and BI tools (e.g., Redash, Snowflake) to reconcile customer data, track performance, and deliver actionable insights.
  • Process Optimization & Scalability: Identify bottlenecks, improve workflows, and drive continuous improvements to help the team scale effectively.

Requirements

  • Strong written and verbal communication skills in English and Hebrew (Must)
  • Advanced Excel/Google Sheets skills; ability to handle and analyze large datasets
  • Proficiency with CRM platforms (e.g., Salesforce, HubSpot) and sales enablement tools
  • Familiarity with SQL and BI tools (Snowflake or similar)
  • Strong organizational skills and time-management abilities
  • Comfortable working both independently and collaboratively in a fast-paced environment

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