Job Description

The Staff Data Analyst will join the analytics team - Cash App Compliance Analytics - chartered to transform us into a data-driven Compliance organization. You will help deliver applicable analytics to leaders throughout the Cash App business. Focused on quantifying compliance risks, forecasting operational demand, and driving efficiency, you will allow Cash App to change the financial services industry. Reporting into the Analytics Manager of Cash App Compliance, you will be fully remote and partner with Product, Finance, Data Science, and Engineering.

You Will:

• Build databases, design dashboards, and define metrics to support scale, analyze risks, and provide easily understood reports for operational teams and senior management
• Report on compliance operational demands, costs, forecasts, and efficiency levers to both Compliance leadership and Finance & Strategy partners. 
• Uncover relevant insights on topics affecting compliance, including: new risks, compliance operating effectiveness, risk tolerance, product launches and usage, important performance and risk indicators
• Harness raw data to help partners understand the impact of new regulation, policies, or environmental changes to our compliance program and the Cash App platform
• Collaborate with partners from engineering to customer experience to inform strategic builds of essential compliance program elements
• Communicate insights to important partners and influence teams to take action based on your recommendations

Qualifications

You Have:

• 7+ years of related experience
• Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
• Experience in ETL development
• Experience using data to solve complex, ambiguous problems
• Vision to define problems and manage projects in a fast-paced, evolving organization
• Experience bringing data to life for any audience through written and verbal communication and data visualization.
• Experience delivering quality in reports and data analysis

Even Better (but not required):

• Forecasting experience
• Experience in the FinTech industry or with financial crimes compliance systems, technologies and processes.
• Experience with automation using Python, R or Prefect