דרושים » תוכנה » data ANALYST

In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.

Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

We are looking for a hands-on Senior SOTIF Analyst to join the team developing a novel approach to validating the safety of autonomous vehicles.
Demonstrating the safety of autonomous vehicle systems is one of the most challenging problems at the frontier of technology. It requires a deep end-to-end understanding of the AV system, rigorous technical analysis, and the ability to translate safety challenges into measurable KPIs, practical tools, and scalable methodologies.
In this role, you will work closely with R&D, Validation, customers, and industry stakeholders to shape and advance our SOTIF approach and support its broad acceptance across the automotive industry.
What will your job look like?
Lead the design & development SOTIF (Safety Of The Intended Functionality) concept and KPIs for AV systems.
Work closely with R&D and validation on bringing our concepts to reality.
Initiate new methods and tools to support the safety analysis of the AV system.
Hands-on development of tools, analysis and solutions together with an Agile team.
Identify potential safety risks , such as driver behavior, and develop strategies to mitigate those risks.
Develop and implement SOTIF requirements and guidelines for the design, development, and testing of systems.
Work with the automotive industry to get to a wide acceptance of our methodology.
Work closely with customers and regulators on SOTIF related aspects.