Senior Data Analyst

The Senior Data Analyst will join the Cash App Compliance Analytics team chartered to put data at the center of the Compliance organization. You will help deliver actionable analytics to leaders throughout the Cash App business. Focused on quantifying compliance risks 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 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
• Work with Cash App Product and Engineering partners to build monitoring to ensure the effectiveness of our control environment
• 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

You Have:

• 5+ 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):

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

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $135,200 – USD $202,800
Zone B: USD $125,800 – USD $188,600
Zone C: USD $119,000 – USD $178,400
Zone D: USD $108,200 – USD $162,200