Data Analyst jobs in Petah Tikva

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary We are seeking an experienced Senior Data Analyst to join our AI Product Analytics team and lead the evolution of our BI and analytics solutions. Sitting at the intersection of data and product, you will play a crucial role in transforming complex product usage data into actionable insights that drive roadmap decisions. You will be responsible for defining product analytics standards, translating requirements from product managers into scalable data solutions, and mentoring the broader analytics team on BI best practices. If you are an independent problem-solver with strong data modeling intuition and a passion for data storytelling, this is an incredible opportunity to shape our analytics ecosystem. Key Responsibilities • Collaborate with product and engineering teams to translate ambiguous business questions into clear metric definitions and reporting solutions. • Serve as a subject matter expert in BI, mentoring analysts on best practices for dashboard design and data presentation. • Establish and maintain company-wide KPI metrics, documentation, and certified catalogs to ensure high-quality and reliable data. • Analyze product usage, user behavior, and feature performance to guide roadmap decisions and support AI-powered capabilities. • Manage end-to-end BI projects independently, balancing priorities in a fast-paced environment while taking full ownership of deliverables. Qualifications Required Qualifications • Minimum of 5+ years of hands-on experience in a BI, Product Analytics, or Data Analytics role. • Bachelor’s degree in Industrial Engineering, Information Systems, Computer Science, or a related quantitative field. • Advanced expertise in building, optimizing, and maintaining scalable Tableau dashboards and visual analytics solutions. • Expert-level SQL skills and solid data modeling intuition for complex analytical tasks. • Outstanding cross-functional communication skills to present complex findings to non-technical stakeholders. • Proven track record of independently managing end-to-end BI projects and taking complete ownership of deliverables. Preferred Qualifications • Proficiency in Python for basic data manipulation, scripting, or analysis. • Experience creating AI-assisted prompts or custom workflows for automated data tasks and analytics generation. • Strong interest or proven experience in mentoring peers, setting visual standards, and leading analytics enablement efforts. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Description Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets. Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC. Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work. We are looking for a Data Analyst to join our growing Analytics & Growth team and play a key role in tracking, analyzing, and optimizing the company’s overall performance across customers. The role focuses on defining event tracking, attributes, and properties mapping, analyzing conversion funnels, and identifying trends or issues using web analytics tools. You will work closely with R&D, Professional Services, Product managers, and the Business Intelligence team to ensure data integrity, validate tracking implementations, support new feature launches, and enable data-driven decision-making across the organization. The ideal candidate is highly independent, curious, and proactive, with a strong drive to uncover root causes and continuously learn new tools and methods to solve complex analytical challenges. Responsibilities: • Define, implement, and maintain event tracking, attributes, and properties across web and product platforms • Gather and analyze data from multiple sources, including web analytics, internal systems, session recordings, and online browsing activities • Conduct in-depth analyses of customers conversion funnels and trends to identify optimization opportunities, as well as raise alerts and potential issues • Monitor KPIs related to conversion, engagement, and overall company performance • Guide and support our e-commerce funnel optimization with data backed insights. • Collaborate with R&D, product managers, and cross-functional teams to define tracking needs, raise alerts, and support new feature launches • Ensure web analytics data is accurately reflected in BI dashboards and reports, enabling reliable decision-making and insights • Conduct and analyze AB testing together with the Payments, Product and Professional Services teams, to measure the effect of new features, payment methods and other growth initiatives for our customers, and provide recommendations and conclusions. • Provide actionable, data-backed insights to support company-wide strategy and analytical projects • Take initiative to learn independently, adopt new analytical approaches, and work autonomously on complex problems Requirements • BSc in Industrial Engineering & Management, Economics, Statistics, or related analytical field • 2+ years of experience in data analysis, preferably in customer-focused or digital analytics roles • Strong proficiency in web analytics tools (e.g., Google Analytics/GA4, Mixpanel, Amplitude, Shopify Analytics, Adobe Analytics) • Experience with AB testing and Product Analytics • Proficiency in SQL and large and complex data sets • High proficiency in Excel • Experience working with BI tools- preferably QlikSense • Solid understanding of conversion funnels, event tracking, and data quality validation • Experience collaborating with cross-functional teams including product, tech, and BI • Excellent analytical, problem-solving, communication and presentation skills • Detail-oriented with strong business understanding, analytical depth and ability to manage large, complex datasets • Independent, proactive, and quick learner with strong self-motivation and ownership mindset • Fluent in English, both written and spoken