About the company
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Job Summary
You Will
📍Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders 📍Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior 📍Design and analyze A/B experiments to evaluate the impact of changes we make to the product 📍Work with engineers to log new, useful data sources as we build new product features 📍Build, forecast, and report on metrics that inform strategy and facilitate decision-making for key business initiatives 📍Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team 📍Build and share data visualizations and self-serve dashboards for your partners 📍Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
You Have
📍Direct experience in credit, lending, risk management, or financial services. 📍Exceptional Communication: The ability to clearly articulate complex technical concepts to both technical and non-technical audiences. 📍Leadership and Influence: Demonstrated ability to lead complex, cross-functional projects from conception to completion. You can influence without authority and are skilled at navigating a fast-paced, dynamic environment. 📍Advanced proficiency with SQL and data visualization tools (e.g. Mode) 📍Experience with scripting and data analysis programming languages, such as Python or R
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