Staff Data Analyst

Job Description

The Staff Data Analyst will join the Square Compliance Analytics team to partner cross-functionally across product, engineering, and operations to drive a strategic roadmap on how to optimize our screening processes across all Block. You will become a trusted advisor and play a pivotal role in refining and optimizing our upstream vendor configurations, deliver strategic insights to global compliance leadership, and collaborate with operations and compliance to redesign, streamline, and automate our workflows.

You will:

• Lead and manage data-driven projects from inception to completion. Define project scope, objectives, timelines, and deliverables, ensuring alignment with business goals. Collaborate with stakeholders to track progress, address challenges, and ensure successful project outcomes.

• Serve as the primary liaison between product, engineering, and operations teams, ensuring seamless communication and collaboration on data-related projects.

• Collaborate to fine-tune upstream vendor configurations, ensuring accurate and efficient data integration from partners such as LexisNexis.

• Create and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs), provide insights to stakeholders, and drive operational efficiency.

• Uncover new insights and influence decisions on new risks, compliance operating effectiveness, risk tolerance, and product launches.

• Provide guidance and mentorship to other team members on best practices.

Qualifications

You have:

• 8+ years of related experience with a Bachelor’s degree; or 6+ years and a Master’s degree; or equivalent work experience.

• Expert level abilities in writing, optimizing and validating SQL queries to identify gaps and inconsistencies.

• Solid understanding of data modeling concepts, data warehousing, and ETL processes.

• Highly skilled in using data visualizations tools for story-telling and creating dashboards that drive operational improvements (e.g. Tableau, Looker, Jupyter Notebook).

• Proficiency working with semi-structured data (e.g. XML, JSON) and using scripting languages such as R or Python.

• Proficiency using Git for version control and command-line tools to develop and run scripts.

• Proven results developing, managing, and executing cross-functional, strategic projects.

• Ability to develop a nuanced, detailed-oriented understanding of complex problems, clearly articulate these problems to non-technical audiences, and effectively influence senior management to implement proposed solutions. 

• Preferred domain expertise in financial services or compliance, and experience working with vendors like LexisNexis.