Top Data Analyst Jobs in Israel

Lead data analysis for easyplant by identifying growth opportunities, shaping marketing and product strategy, designing experiments, building analytical tools and models, and translating complex findings into clear business decisions. The role partners closely with the GM, Marketing, and Product teams and requires expertise in acquisition, attribution, CAC, LTV, funnels, cohorts, retention, SQL, Python, and AI-assisted workflows.

Analyze large player datasets to uncover behavioral insights, evaluate virtual economies and incentives, and guide product and business strategy. The analyst will conduct research, develop hypotheses and analytical frameworks, translate complex findings into persuasive recommendations, and partner with product, design, and executive teams. The role emphasizes strategic thinking and insight generation rather than dashboard creation or data pipeline maintenance.

Analyze large-scale datasets, assess data quality, validate data models, identify trends and business opportunities, and develop dashboards, reports, and monitoring tools. The role supports product and development teams by translating complex data into actionable insights and presenting recommendations to technical and non-technical stakeholders.

Analyze renewable energy portfolio data from PV, BESS, and wind assets to identify trends, anomalies, inefficiencies, and data-quality issues. Build KPIs, dashboards, reports, and visualizations; support ETL/ELT pipelines and API integrations; and develop automated or AI-driven analytical workflows. Collaborate with technical teams, asset managers, and stakeholders to improve asset performance and enable data-driven decisions.

Own product analytics for a consumer AI browser across acquisition, activation, engagement, retention, and monetization. Analyze large-scale behavioral data, define product metrics, design and evaluate A/B tests, investigate user behavior, and translate findings into product decisions. Partner closely with Product, Engineering, Growth, and leadership while building analytical frameworks and self-service tools. Use AI tools to accelerate analysis and automation.

Analyzes customer and e-commerce performance using web analytics, SQL, BI tools, and large datasets. Defines and validates event tracking, monitors conversion funnels and KPIs, identifies trends and issues, supports feature launches, and delivers actionable insights. Collaborates with product, R&D, professional services, and BI teams to ensure data integrity and reliable dashboards.

Analyze large datasets to understand player behavior, optimize retention and game revenue, and recommend product improvements. Build dashboards and reports for business metrics, apply statistical methods and A/B testing, and collaborate with developers and product teams to implement features that improve user experience. The role requires strong SQL, analytical expertise, stakeholder communication, and familiarity with AI tools and Python-based analytics.

Own data analysis, user acceptance testing, dashboards, KPI tracking, production support, and data quality investigations for the Pioneer data platform. Partner with analysts, product management, and engineering to deliver reliable data products, troubleshoot issues, and identify improvements. The role requires SQL and scripting knowledge, analytical independence, strong communication, and experience working with large-scale data platforms.

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.

Lead product analytics for digital health products using large healthcare and behavioral datasets. Define metrics, forecast performance, analyze engagement, design A/B tests, apply causal inference and statistical modeling, monitor production ML models, and provide recommendations that shape product strategy. Collaborate with Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success teams while communicating actionable insights through clear data storytelling.

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

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.

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.

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.