Top Data Analyst Jobs in Israel

Analyze product usage and AI model performance to guide product strategy and growth. Build executive dashboards, semantic layers, KPI definitions, event-tracking schemas, and user journey analyses. Identify adoption gaps, measure feature and roadmap impact, evaluate AI outputs, and improve prompt engineering. Partner with Product and Technology leadership to standardize metrics, enable self-service data discovery, and translate complex findings into actionable recommendations.

Analyze the quality and performance of autonomous vehicle algorithms using statistical methods, data review, testing, and large-scale data analysis. Run development versions, evaluate production releases, identify regressions and critical issues, communicate findings to algorithm and management teams, and produce detailed and high-level reports supporting development decisions.

Lead cybersecurity asset intelligence research across device, identity, software, and SaaS data. Analyze large-scale security datasets, automate workflows with Python and SQL, integrate AI/LLM tools, and develop asset classification, fidelity, risk, and criticality logic. Collaborate with Product and Engineering teams to translate research into production-ready cybersecurity capabilities.

Analyze product and growth data across signup, activation, feature adoption, retention, and launches. Partner with Product and Engineering to define events, metrics, and measurement frameworks; build and validate dbt models; maintain Looker dashboards; investigate anomalies and tracking issues; and deliver actionable recommendations. The role also involves using AI agents and automation workflows to streamline repeatable analytical and operational processes.

Analyze payment transaction data to monitor approval rates, chargebacks, fraud indicators, and provider performance. Develop dashboards, define payment analytics goals and fraud detection frameworks, investigate anomalies, and recommend data-driven routing and optimization strategies that improve payment performance and reduce losses. Collaborate with Finance, Product, and BI teams while applying SQL, BI, data pipeline, and data warehousing knowledge.

Analyze complex datasets, translate findings into actionable insights, improve data pipelines and client onboarding, create internal and external visualizations, collaborate with clients, contribute to AI model design, and build data analysis infrastructure.

Analyze complex player data from online and mobile games to answer business questions, inform events and promotions, improve monetization and retention, and influence product roadmaps. Build automated dashboards and reports, communicate actionable recommendations, and collaborate with internal teams to improve player experience and business performance.

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

Part-time student Data Analyst supporting customer data onboarding, raw-data exploration, parsing and normalization. The role analyzes large-scale real-time connected-vehicle data using big-data and AI tools to identify anomalies, emerging threats, and actionable insights. Responsibilities include developing detection methods, researching complex datasets, and representing the data function in internal and customer-facing interactions.

Own custom recurring data feeds from requirements through delivery and maintenance. Develop methodologies and acceptance criteria, build tested PySpark pipelines on Databricks using Airflow and Terraform, and ensure data quality. Partner with customer-facing teams, Solution Engineers, R&D, and Data Science to deliver reusable data products. Explain statistical concepts and limitations to nontechnical audiences while independently managing cross-team deliverables and deadlines.

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

Build and administer Tableau dashboards and reports, transform large datasets into actionable insights, optimize queries and ETL processes, collaborate with stakeholders, and support Tableau Server administration and performance monitoring.

Analyze large, complex datasets and design unified data models; research integrations and APIs; modify production logic; support customer onboarding and deliver customer-facing analyses; partner with Engineering, Data Science, and Product to shape Glow's data platform and AI-powered features.

Analyze large financial transaction datasets using SQL and Python (Pandas); investigate data quality and reconciliation issues; build matching and validation processes; develop and maintain BI dashboards; partner with Product, Engineering, and business teams to automate analyses and deliver actionable insights.

Process and validate complex datasets, perform quantitative analysis and data mining, develop tools to ensure data and algorithm quality, evaluate and improve algorithms produced by data scientists, and partner with Big Data Engineers to scale solutions and create new features.

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.

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.

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.

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.