Senior Business Data Analyst Intern, Fraud & Risk

Intuit's Money Risk team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse.

The team is looking for a Senior Business Data Analyst Intern who is passionate about data and excited to partner with product managers, engineers, and data scientists to deliver fresh insights and intelligent solutions to fight fraud.

Our Award-Winning Summer Internship Program:• Work assignments that are critical to the business with written goals• Paid Housing & Transportation for the summer (when not virtual) for eligible students• Extensive training to jump start your career development• Exposure to our leadership team• Daily engagement with our Marketing team• Visibility of career progression and growth• Reviews and written evaluations and the opportunity to be considered as a full time employee• Opportunity to share what you've learned and teach your team• Social and Networking events

Responsibilities

• Translate business questions into verifiable hypotheses, create experiments to test them, and generate recommendations based on the findings.• Leverage data to understand fraudulent/financial risk behavior, identify trends that indicate elevated risk, and to inform policy decisions.• Proactively identify ways to improve existing processes and suggest projects that address key issues while providing an awesome and delightful customer experience.• Deliver accurate metrics related to risk activity, policy rules, and operatingeffectiveness via dashboards using disparate data sources and systems.• Curate and standardize risk-related datasets used as the foundation for all Intuit-wide fraud analysis.• Use SQL, Python, Tableau, and spreadsheets to quickly analyze, manipulate and visualize small to large datasets to guide fraud and risk policy discussions.• Create clear concise diagrams to document data flows and business processes.• Vigorously validate the integrity and quality of data required for performing analysis.• Partner with fraud investigation teams, policy makers, product managers, and data scientists to deliver data insights and analysis that inform critical decisions and help us reach our goals.