לוח משרות דרושים Product Analyst בתל אביב יפו

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

Were looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.
This isnt a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.
What Youll Do:
Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

we are looking for a Product Analyst.
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

Required Product Analyst
The Role
The Product Analyst position directly affects the companys product decisions. Our growing Data department is looking for a highly motivated team player who is proactive, a problem solver, and a storyteller. You will play a key role in analyzing patterns, identifying trends, and providing insights that directly influence our product strategy and roadmap.
Responsibilities:
Act as the analytics partner for product managers from ideation through discovery, research, planning and analyzing A/B tests.
Analyze large and complex data sets using SQL and statistical methods to provide actionable recommendations for improvements.
Manage a full data collection life cycle - define, collect and process data.
Conduct deep-dive analysis of new features and A/B tests to validate hypotheses, monitor KPIs, and measure success.
Build robust, self-served dashboards, reports, and alerting to enable data-driven decisions across the team.
Conduct opportunity sizing and impact assessments to ensure the team focuses on the most meaningful features and initiatives.
Promote new tools and methods to make data-driven decisions.
Work closely with R&D to achieve data-related goals.
Share and present insights and data stories to a diverse set of stakeholders, including management.
Role located in Ramat HaChayal, Tel Aviv.

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine.
In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.
Youll Own:
The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.
Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.
Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.
Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.
Youll Solve:
Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.
Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.
Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.