DoorLoop
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Senior Customer Experience Data Analyst
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About DoorLoop DoorLoop is property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, we're a global company helping property owners and managers move faster, scale smarter, and get real support, real fast. We're proudly People First. That's why we're a Certified Great Place to Work, recognized by Forbes as one of America's Best Startup Employers in both 2024 and 2025, and earn top ratings on Glassdoor. Mission DoorLoop is looking for a Senior Customer Experience Data Analyst to join the Data & Analytics team. This role will act as the dedicated analytics partner for Customer Experience, delivering insights, dashboards, models, and measurements that improve both customer operations and product experience. A core part of the role is translating recurring customer issues and trends into insights for the Product team, ensuring customer feedback influences roadmap priorities. As part of the central Data team, you will own the analytics for customer experience end-to-end and collaborate closely with CX leadership, Product Managers, and other analysts. Responsibilities: • Act as the main analytics partner for the Customer Experience team, delivering clear and actionable insights. • Analyze customer experience performance, issues, and satisfaction metrics to identify trends and opportunities for improvement. • Build and maintain dashboards and reports that track key CX KPIs and performance metrics. • Build and maintain analytical models that forecast support demand, identify trends, and predict customer outcomes. • Partner with CX leaders to frame key operational questions and provide data-driven answers. • Connect customer insights back to Product teams, highlighting recurring issues and influencing roadmap priorities. • Measure the impact of CX initiatives and product-related improvements, defining success metrics and delivering post-initiative analyses. • Establish standards, documentation, and review cycles to ensure consistent and accurate reporting across CX. • Respond to ad hoc requests from CX and Product stakeholders, balancing speed with accuracy. • Collaborate with the broader Data & Analytics team to share methods, improve data foundations, and maintain quality standards.