Top Data Analyst Jobs in Israel

The Data Analyst will own data lifecycle, define KPIs, design data models, build automated workflows, and ensure data accuracy for revenue strategies.

As a Senior Business Data Analyst, you will manage strategic initiatives, build dashboards to track KPIs, identify growth opportunities, and improve data processes while supporting business strategy.

The Senior Data Analyst role involves measuring AI capabilities' impact, defining KPIs, monitoring systems, building data dashboards, and collaborating with teams for product success.

Perform end-to-end data research and analysis to improve maritime core-data algorithms. Extract and analyze GEOINT, SIGINT, and ADINT fused with maritime signals using Python and databases. Leverage generative AI/LLM tools, maintain data quality, visualize and document findings, and collaborate with cross-functional teams to drive product and engineering decisions.

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.

The Cyber Data Analyst will analyze complex datasets to uncover trends, partner with teams to design data-driven solutions, and create dashboards and reports to enhance company performance.

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

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

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.

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 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.

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

The Data Analyst will analyze data for AI rules, research network patterns, implement scripts, and collaborate with Data Engineering teams.

The Data Analyst will analyze operational datasets, improve heuristics for supply chain, train ML models, and collaborate with various teams for deploying data-driven solutions.

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.

Looking for a Data Analyst to conduct exploratory analysis on large-scale datasets, support model development, and communicate findings to the data science team.

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

The Data Analyst Engineer develops tools for monitoring product yields, maps failures, and leads SPC and product implementation processes, requiring strong data analysis skills.

The Data Analyst will analyze data to extract insights, develop AI rules, research network patterns, and collaborate with Data Engineering teams.

As a Data Analyst, you will analyze online behaviors and risks, create monitoring systems, and collaborate across teams to enhance user security.

The Product Data Analyst will analyze product usage and customer data, build dashboards, and ensure efficient data operations within the product team.

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

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 Finance Data Analyst will provide analytical support to Finance, Investor Relations, and Legal teams, performing data extraction, analysis, and reporting. Responsibilities include financial modeling, compliance support, data collaboration, and creating visualizations to guide business decisions.