Sr. Staff Analytics Engineer

<div class="content-intro"><p>Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's essential bills, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.</p> <p>That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.</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 rel