Customer Success Data Analyst

Description GigaSpaces is seeking a Customer Success Data Analyst - a data-driven professional who combines advanced analytical and SQL skills with strong customer-facing abilities. This role is primarily focused on data analysis, validation, and integration, helping customers achieve success through deep understanding of their data and business logic. You will act as the analytical backbone of the Welcome Team, ensuring smooth onboarding, accurate data integration, and meaningful insights that drive adoption and value. This is not a traditional Customer Success role - it’s a technical, data-focused position requiring hands-on SQL work, data modelling, and business logic exploration, combined with the communication and collaboration skills to work directly with customers. About us: For over two decades, GigaSpaces has mastered the art of real-time data. We’ve built platforms that power the world’s most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information. This position is full time, hybrid and located in Herzeliya.

Key Responsibilities:

• Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
• Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
• Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
• Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
• Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
• Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
• Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
• Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.

Requirements 2+ years of experience as a Data Analyst, Business Analyst, or a similar data-driven technical role - MUST

• Advanced SQL skills with proven ability to query, validate, and analyze complex datasets - MUST.
• Experience in a customer-facing or client delivery role (e.g., onboarding, technical account management, or consulting).
• Strong analytical mindset with the ability to reverse-engineer business logic from raw data.
• Experience with data modelling, metric design, and BI tools (e.g., Power BI, Looker, Tableau).
• Strong communication and presentation skills - able to explain technical insights to both technical and non-technical stakeholders.
• Proven ability to manage multiple onboarding projects in a fast-paced environment.
• Self-motivated, curious, and adaptable - comfortable working in dynamic, evolving environments.
• Passion for helping customers succeed through data-driven insights.

Bonus:

• Experience with GenAI, Retrieval-Augmented Generation (RAG), or natural language-to-SQL systems.
• Background in SaaS or enterprise data products.

Why Join Us

• Shape the data foundation for cutting-edge GenAI products.
• Work directly with enterprise customers and global data systems.
• Be part of a fast-growing startup where data is the core product.
• Collaborate with top-tier engineers, product leaders, and data experts.