Top Data Analyst Jobs in Israel

Own end-to-end revenue data lifecycle: define and maintain Revenue KPIs and single source of truth, design scalable data models, build automated workflows and interactive data apps, ensure data integrity, and produce clear documentation for stakeholders.

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.

Analyze large game-data sets to inform product and monetization decisions, design and evaluate A/B tests, build dashboards, monitor live-ops performance, and integrate LLM-based AI tools to automate and accelerate data workflows.

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.

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.

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

Work cross-functionally to analyze product funnels, cohorts, feature adoption, and customer journeys; define and track product KPIs; design and analyze A/B tests; build dashboards and recurring insights; use operational data to identify product opportunities; improve tracking and metric definitions with Data and Engineering; communicate findings to stakeholders.

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 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.

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.

Lead analytics for the compliance team: define and implement KPIs, analyze complex datasets, create clear visualizations and dashboards, translate product/business requirements into analytical logic, support feature performance, and deliver actionable insights using SQL, BI tools, and AI tools.

Lead end-to-end data and automation solutions for Clinical Research: intake, business case development, design, build, validation, deployment and lifecycle management of ETL pipelines, dashboards, workflow automation and AI-assisted processes. Ensure compliance (ICH GCP), measure impact via KPIs, manage stakeholders and change, and scale reusable solutions across countries and region.

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.