About the role
<div class="content-intro"><p>Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2026 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?</p></div><p><strong>The Role</strong></p> <p>As a Senior Staff Analytics Engineer, you will enable stakeholders at Flex to easily find the data they need to make decisions. You'll do this by leveraging your technical skills to develop better data products and solutions. You'll partner with analysts, engineers, PMs and others to define the requirements while being accountable for delivering the end data product. As part of the broader Data team, you will report to the Director, Analytics Engineering and support a number of different areas across Flex.</p> <p><strong>You Will:</strong></p> <ul> <li>Lead the development of data models to consume, transform, and expose data to stakeholders and systems across the company</li> <li>Collect business requirements, define successful analytics outcomes, and design data solutions</li> <li>Set company-wide standards for data regarding structure, quality, and expectations</li> <li>Contribute Flex’s data culture by influencing processes, systems, and tools that enable to make better decisions in a scalable way</li> </ul> <p><strong>You Have:</strong></p> <ul> <li>6+ years as an analytics engineer or equivalent, with a track record of shipping high quality products and features at scale</li> <li>Expert knowledge of SQL, data warehouses (we use Snowflake), and how to write efficient SQL queries</li> <li>Familiarity with common BI tools (preferably Sigma Computing, Tableau, Mode, etc.)</li> <li>Expert proficiency with dbt or similar data modeling tool</li> <li>Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, and best practices for codebase development and CI/CD)</li> <li>Experience within the fintech space</li> </ul> <p><em>This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters. For candidates outside of the NY/NJ area, you may be eligible for our relocation assistance program.</em></p><div c