Catapult Solutions Group is hiring: Fraud Data Analyst in Mountain View

Overview

We are seeking a Fraud Analyst to join our Trust & Safety team.

In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, aiming to gain a comprehensive understanding of how bad actors operate. This requires a keen eye for detail, strong analytical skills, and familiarity with data visualization techniques. You will be responsible for creating intuitive dashboards that will allow your stakeholders to monitor and mitigate these fraudulent patterns efficiently.

Responsibilities

• Transform data into actionable and relevant insights for your stakeholders.
• Formulate well-defined requirements for data engineering teams, ensuring that stakeholders have access to lucid, accurate, and consistent datasets.
• Build and maintain dashboards to assess the efficacy of our controls in mitigating fraud, while ensuring minimal impact on our customers.
• Equip fraud policy teams with a comprehensive understanding of the ecosystem, enabling them to recognize opportunities for improvement and optimization of their solutions.
• Perform in-depth exploration and analysis of both internal and external data sources.
• Identify developing patterns of fraudulent activities within Intuit's extensive range of products.
• Communicate regularly with leadership, peers, and stakeholders, highlighting achievable goals and measurable business outcomes.
• Work closely with local and global teams in policy, product, data engineering, data science, and R&D.

Qualifications

Required Qualifications

• +4 years of experience analyzing complex datasets, and providing business recommendations.
• +4 years of experience working in an e-commerce, payments, or financial services company.
• +4 years of experience building dashboards and data visualization.
• Extensive SQL experience, specifically in your current role.
• Proven ability to work independently and make decisions with minimal direction within assigned timelines.
• Able to express thoughts and ideas in fluent and concise manner.

Preferred Qualifications

• Background in fraud prevention, with emphasis on tax fraud.
• Bachelor’s degree, or foreign equivalent, in computer science, information systems management, engineering (any field), or closely related quantitative discipline.
• Experience building ETL pipelines.
• Experience with Tableau/QlikView or and other data visualization software.
• Experience with Github / Splunk / Python.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• Finance

Industries

• Financial Services and Accounting