Fraud Data Analyst

Augment Code•Palo Alto, CA

5h•Onsite

About The Position

We're looking for a Fraud Data Analyst to join our Fraud team. In this role, you'll transform our data into strategic insights that drive fraud and abuse prevention policies. With an analytical mindset, you'll build powerful dashboards and metrics frameworks to investigate the constantly evolving fraud patterns. You'll own our metrics architecture, produce in-depth analyses, and find innovative ways to communicate insights to stakeholders across the organization. You'll have the unique opportunity to collaborate with our AI researchers, software engineers, support team, and leadership to translate complex data into compelling narratives that guide policies and onboarding experience for users.

Requirements

2-4 years of experience in fraud/risk analytics or data science roles
Strong proficiency in SQL for complex data analysis
Experience with data visualization tools (preferably Hex)
Understanding of both fraud and growth metrics related to SaaS platforms
Ability to translate business questions into analytical frameworks

Nice To Haves

Experience with dbt and BigQuery preferred
Familiarity with the developer tools space a plus

Responsibilities

Develop comprehensive analytics strategies to extract meaningful insights from user data
Define, implement, and maintain key product metrics that accurately measure false positives, trends in patterns of fraud, user behavior changes etc.
Conduct in-depth analysis of user journeys, identifying friction points and opportunities to strike the balance between user friction to prevent fraud vs. maintaining a healthy growth rate
Analyze A/B tests to measure the impact of product/policy changes and guide fraud detection methodologies
Monitor social forums like telegram, signal etc. to proactively discover emerging fraud patterns on SaaS platforms
Develop a detailed funnel analysis to understand the optimal checks and balances to add at each step of the user journey
Build and optimize data models using dbt and BigQuery to ensure efficient and reliable data processing
Design interactive Hex dashboards that visualize both product and marketing performance
Ensure proper event tracking and data collection across the user journey
Maintain data quality standards and governance practices including validating curated data, benchmarking 3p signals, following GDPR requirements etc.
Partner closely with fraud and support teams to communicate data trends
Democratize data access through self-service analytics tools and documentation