Top Data Analyst Jobs in Israel

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.

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.

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

Analyze financial performance, pricing, budgets, forecasts, KPIs, competitor trends, and business units. Build dashboards, reports, economic models, scenario analyses, and AI-augmented financial tools. Automate recurring finance reporting and communicate actionable insights to stakeholders and leadership. The role also supports strategic projects, process improvements, controls, benchmarking, and forecasting across company units.

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 product, marketing, and financial data to surface actionable insights, build dashboards and ETL/data warehouse structures, design and analyze A/B tests, reconcile transactional revenue, and communicate findings to senior stakeholders to drive product and business decisions.

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 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 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 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.

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.

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.

Evaluate and annotate LLM-generated conversations and text, identify quality trends and failure modes, perform high-quality labeling, analyze results, and partner with AI engineers and product managers to improve model performance and user experience.

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.