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Intuit: Staff Business Data Analyst, Ecosystem Fraud Prevention

Company: Intuit
Location: Sunnyvale
Posted on: May 6, 2021

Job Description:

Overview Intuits Ecosystem Fraud Prevention 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 Staff Business Data Analyst 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. What you'll bring Strong business acumen and exceptional analytical ability with 8 years of relevant experience. Experience in Fraud Prevention or Risk preferred. Advanced SQL and coding skills to perform data, profiling, segmentation and aggregation. Experience with statistical analysis in support of justifying policy recommendations is preferred Significant experience with relational databases (Oracle, SQL Server, MySQL, Vertica) preferred. Significant experience with data analytics and visualization tools (Excel, Python, Tableau, QlikView). Outstanding communication skills with the ability to deftly negotiate, prioritize across technical and non-technical teams, influence decision makers and build consensus with teams. Detail-oriented with a high degree of accountability, organization and empathy. Experience using version control software like Git preferred but not required Experience working with Key Performance Indicator metrics such as fraud prevention, chargeback, and customer insult rates (preferred). Team player: Effectively drive decisions and delivery across organizational boundaries through collaboration and effective relationships Bachelors Degree in Quantitative Field or commensurate experience. Masters degree preferred. How you will lead Lead initiatives to understand fraudulent behavior, identify trends that indicate elevated risk, and create policy decisions. Drive change by proactively identifying ways to improve existing processes and suggest projects that address key issues while providing an awesome customer experience. 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. Effectively design, document, and communicate complex analyses, data flows, and business processes Design metrics and build dashboards to effectively measure the impact of fraudulent activity and the policies designed to mitigate them Advocate for the curation, standardization, and centralization of fraud-related datasets that form the foundation for all Intuit-wide fraud analysis Be the subject matter expert across the organization for your domain Use SQL, Python, Tableau, and spreadsheets to quickly analyze, manipulate and visualize datasets to guide fraud and risk policy discussions Teach best practices and mentor analysts within the organization

Keywords: Intuit, Sunnyvale , Intuit: Staff Business Data Analyst, Ecosystem Fraud Prevention, Professions , Sunnyvale, California

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