Intuit's Identity Analytics team is looking for a hands-on Senior Business Data Analyst who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Analysts, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit's Identity capabilities within Intuit's Platform. As a key member of the analytics team, you will have a strong track record of combining advanced analytical skills with exceptional business and entrepreneurial acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm.

This is an exciting time to join the Identity Analytics team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network, password-less authentication powered through passkeys, Generative AI experiences, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit's decision-making process, and analysts are a critical component to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit's future growth.

Responsibilities

• Partner with cross functional teams to drive data-backed decisions and actionable insights
• Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights
• Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in writing and through oral presentations
• Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals
• Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
• Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available
• Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution
• Share responsibility for owning and maintaining the analytics backlog, connecting directly with partners and stakeholders to communicate and align on priorities