Over 350 companies use Alloy’s API-based platform to connect to more than 170 data sources, automate identity decisions during account origination, and monitor them on an ongoing basis. Alloy has helped some of the most innovative banks and fastest growing fintech companies grow and scale operations by allowing them to find more good customers and bring them into their products without increasing the risk of fraud.

Leading within the Data team, collaborating closely with Data Science and Engineering, this role will expose you to a mix of client and internal projects. You’ll be working on business-critical problems directly tied to company revenue and shape how our clients view and understand their use of Alloy. More specifically, you’ll be helping us build out data analysis:

Leading team of analysts as they deliver on analytical needs of the business and our clients

• Organize and prioritize incoming requests for client-facing analytics
• Monitor team bandwidth and timelines, and manage client expectations
• Identify opportunities for optimization and automation
• Help design system for data observability

Implementing, and improving accuracy, reliability, and visibility around client usage and billing:

• A deep investigation into client usage data to identify missed revenue
• Client-level impact assessments of changes to billing/pricing strategies
• Monitoring and alerting for the introduction of new data gaps
• Support for the monthly billing cycle

Designing, supporting and extending our client data/insights needs:

• Enhancements to regular client-facing data insights (e.g. quarterly business reviews)
• Improvements to reusability and scalability for serving client data/analytical requests
• Standardization of tracking and reporting for client testing/experimentation

Who we're looking for

• At least 4-5 years experience in real world production with: Core SQL (selects, joins, inserts), Scripting/automation with python, familiarity with airflow, core data visualization, automation and graphing techniques
• Experience working cross-functionally with business teams
• Excellent attention to detail, both in communication and data
• Demonstrated ability to tell a story with data, through presentations with stakeholders, either internal or external
• Experience leading/mentoring/owning projects end to end