לוח משרות דרושים Product Analyst עבודה היברידית

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our “Guidance Engine” assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience and simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
?We’re Looking for a Product Analyst – Join Our Data Driven Journey! As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. We’re looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, you’ll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience. AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements. Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions. Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights. Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.