Sr. Data Analyst
Platform Science- Full Time
- Senior (5 to 8 years)
Candidates must have at least 1-3 years of experience with ETL support and development, along with analytical Python experience. Strong SQL query writing skills are required, as well as experience with AWS Lambda or similar serverless ingestion pipelines and GraphQL APIs. Comfort with Git and deployment pipelines is also necessary, and the candidate should be a detail-oriented problem solver.
The Sr Data Engineer will work closely with product and Engineering teams to support Business Operations data platforms, design and implement best practices around data cleanliness and schema design, build and support automation pipelines in AWS, and work directly with the CTO and stakeholders to deliver data for Looker dashboards. They will also build reusable products and systems for data acquisition and ETL, support new feature developments, and collaborate with the data team and business stakeholders on architecture and future enhancements.
Comprehensive platform for money movement
Moov provides a platform for managing financial transactions, allowing businesses to oversee the entire payment process from start to finish. This platform gives users complete visibility and control over their money movement, which is especially useful for those with complex financial needs. Moov simplifies multi-party workflows through its feature called Moov Drops, which are customizable UI components that can be tailored to fit a business's branding. The platform connects directly to card brands, The Clearing House, and the Federal Reserve, enabling businesses to issue, accept, store, and disburse money all in one place. It supports various payment methods, including card charges and ACH transfers. Moov also offers a monetization model through Moov Wallets, allowing businesses to earn fees on transactions, thus providing an additional revenue stream. The goal of Moov is to enhance the payment experience for users while simplifying financial processes for businesses.