Top Data Analyst Jobs in Israel

Analyze large-scale datasets to develop metrics, run A/B experiments, and generate insights to improve Taboolas recommendation algorithms. Build analysis tools and KPIs using Python, notebooks, and Grafana; own data initiatives end-to-end and translate data science methods into practical algorithmic improvements.

Build analytical infrastructure and measurement frameworks for new growth channels. Evaluate performance across channels, design AI-powered automations and tools, maintain BigQuery semantic layer, build dashboards and self-service analytics, and partner with Marketing, Product, and Business to deploy end-to-end data solutions.

Investigate and analyze payment disputes and chargebacks across multiple providers, prepare dispute responses, maintain operational chargeback data, collaborate with Fraud, Customer Service, and Finance, and optimize workflows and processes to improve operational efficiency and compliance with card scheme rules.

Serve as the analytical partner to Account Managers, diagnose performance issues, surface proactive business intelligence from marketplace data, automate workflows and build tools/models (including recommendation-system related work), and create actionable insights that influence product and business strategy.

Support product team with product-usage analytics, build and maintain modeled data layers and dashboards, run deep-dive analyses to inform product decisions and experiments, measure conversion/retention/churn and unit economics, and translate findings into clear recommendations for non-technical stakeholders.

Seeking a Data Analyst with strong full-stack development skills in SQL, Node.js, and React. Must have 5 years in data analysis.

Analyze product performance and user behavior to generate insights, build dashboards and KPIs, design and evaluate A/B experiments, identify funnel bottlenecks, collaborate across Product/Marketing/Operations/R&D, and support data-driven strategic decision-making using large, multi-source datasets.

The Data Analyst will analyze data to drive strategic decisions, build reports and visualizations, and ensure data quality across systems.

Analyze product, marketing, and financial data to surface actionable insights, build dashboards and ETL/data warehouse structures, design and analyze A/B tests, reconcile transactional revenue, and communicate findings to senior stakeholders to drive product and business decisions.

Lead end-to-end analyses and build scalable dashboards and data models. Translate ambiguous business questions into analytical frameworks, identify trends/risks, and present actionable insights to senior stakeholders across Product, Finance, Risk, Sales, and more.

Identify, investigate, and mitigate fraudulent activity by analyzing high-volume transactional data. Build SOPs, automate detection logic and workflows, create dashboards, communicate insights to stakeholders, and leverage AI/LLMs to scale fraud detection and reduce manual intervention.

The role involves data analysis for business growth, providing insights, modeling new opportunities, and conducting deep-dive analyses. Requires proficiency in SQL, reporting tools, and experience in complex data analysis.

The data analyst will collaborate with the research team, analyze data, provide insights, and enhance datasets for business needs.

The Senior Data Analyst will work with large datasets, collaborate on research methodologies, perform analyses, improve data quality, and communicate findings.

As a Sales Data Analyst, you will analyze and report sales data, provide insights, oversee data collection, maintain databases, and support the sales team.

As a Senior R&D Data Analyst, you will oversee data integrity, perform data validation, collaborate with teams on data needs, and provide insights from complex datasets.

The Big Data Analyst will analyze large datasets to provide insights, create custom reports, and collaborate with engineers and clients, requiring strong analytical skills and project management experience.

Design and implement end-to-end validation infrastructure, tools, and methods for REM mapping and localization. Develop automated validation processes, integrate algorithms and features, improve sensitivity and efficiency, and manage daily priorities while collaborating across teams.

Serve as the Monetization data authority: analyze large-scale datasets, define and monitor KPIs/OKRs, build dashboards, perform statistical and behavioral analyses, support AI-driven BI architecture, and provide actionable product and monetization recommendations.

The Senior Data Analyst will analyze business processes, support product and marketing initiatives, and drive data-driven decision-making across teams.

The Senior Data Analyst will analyze data to provide insights for product and business decisions, manage dashboards, and design A/B tests, collaborating with cross-functional teams.