Top Data Analyst Jobs in Israel

The GTM Operations Data Analyst will autonomously lead strategic projects, evolve GTM processes, analyze large datasets, and build data models to drive data-driven decisions and increase operational efficiency.

The CCO Senior Business Data Analyst will analyze business strategies and performance metrics, build dashboards, and support data-driven decision-making at monday.com.

As a Data Analyst at Guidde, you will build and maintain SQL data models, provide actionable insights, and design dashboards to support business goals.

The Data Analyst will create custom reports, conduct quantitative analysis, collaborate with engineering and advisory services, and manage complex projects independently.

As a Data Analyst at Base44, you'll analyze large datasets, lead analytics initiatives, develop reports and dashboards, optimize features through A/B testing, and address customer behavior insights to drive decisions.

The Senior Quality Data Analyst Engineer will develop dashboards and KPIs, identify root causes of production issues, and collaborate across teams to deliver insights from data.

The Data Analyst will support stakeholders by analyzing data, solving business problems, providing insights, and enhancing datasets through various tools.

As a Data Analyst, you will analyze player behavior and game economy data, build segmentation models, and collaborate with cross-functional teams to provide insights that enhance player experiences.

As a Data Analyst, you'll analyze data for B2B SaaS, maintain data pipelines, and ensure accurate data classification using ML technologies.

The Network/Data Analyst will develop and maintain data collection infrastructures and collaborate with various teams for data acquisition.

The Data Analyst - ML & Big Data will analyze data, ensure quality, develop tools, validate new sources, and collaborate with engineers to scale solutions.

The role involves owning the data pipeline, ensuring data accuracy, and collaborating with engineering and product teams for analytical purposes.

As a Data Analyst, construct and manage an AI rules engine, identify network patterns, and analyze data to extract insights.

The ML & Big Data Analyst will process datasets, validate new data sources, develop tools for data quality, and work with engineering teams to implement scalable solutions.

The CRM and Retention Data Analyst will analyze data related to customer retention, identify trends, define KPIs, and provide actionable insights to improve performance across various channels.

The Senior Product Data Analyst will own the data strategy for a product domain, partner with Product Managers, design event-based tracking, lead A/B tests, and ensure data quality while driving insights for feature adoption and product performance.

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

As a Data Analyst, you'll manage the AI rules engine, analyze data for insights, and collaborate on network pattern identification.

We seek an Experienced Data Analyst to manage and analyze diverse datasets, helping teams leverage AI for strategic growth and customer retention.

The Data Debug Analyst Engineer will develop tools for monitoring product yields, analyze failures, and collaborate with line technicians and engineers to identify and resolve issues, improving overall productivity.

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.

The role involves partnering with teams to drive data-driven decisions, delivering insights, visualizations, and conducting A/B tests to improve retention in a strategic manner.

The Data Analyst will analyze data sets, drive decision-making, lead A/B testing, and create dashboards to optimize marketing strategies.

The role involves delivering data solutions for AI use cases, collaborating with AI teams, and producing high-quality data outputs from large datasets.

The Senior Data Analyst will support the Customer Success team by delivering data-driven insights, analytical models, and strategic recommendations to improve customer retention and growth.