Hybrid Data Analyst - Fraud Risk & Insights

WeHireYou; Lisbon (IN); Hybrid; USD 42,000 - 48,000; Full time

Benefits offered by this job

Hybrid mode of work

Healthcare benefits

Fully-stocked kitchens

Wellness program

Team events

Udemy access

Job summary

Riskified is seeking a Data Analyst to join our global analytics team in Lisbon. You will work directly with enterprise customers, handling performance metrics and real-time fraud prevention insights, while researching new online-fraud trends and delivering actionable analytics to merchants.

You’ll leverage your skills with SQL, R, and Python to analyze live data, communicate findings effectively to both technical and non-technical audiences, and collaborate across Riskified to optimize client

Qualifications

• 2-3+ years of relevant strong analytical experience with complex data.
• 2+ years of hands-on work experience with SQL (must be proficient)
• Proven expertise in analysis tools such as R and Python
• Experienced problem-solver with critical thinking skills
• Ability to work simultaneously on different tasks and lead multiple projects
• Full working proficiency (both written and verbal) in English
• Advantage - experience in fraud, payments, or ecommerce domains

Responsibilities

• Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
• Effectively communicate analytical insights and complex technical methodologies to both technical and non-technical audiences
• Collaborate with various teams within Riskified to optimize processes and meet customers’ needs
• Engage with account managers, directly interface with clients, and deliver analytical insights to business questions
• Define and execute end-to-end technical solutions for fraud-prevention challenges
• Master the online fraud prevention domain through hands-on analysis of live data

Skills

Analytical thinking

Client-facing experience

Leadership

English proficiency

Tools

SQL

R

Python

Job description

Riskified is seeking a Data Analyst to join our global analytics team in Lisbon. You will work directly with enterprise customers, handling performance metrics and real-time fraud prevention insights, while researching new online-fraud trends and delivering actionable analytics to merchants.

You’ll leverage your skills with SQL, R, and Python to analyze live data, communicate findings effectively to both technical and non-technical audiences, and collaborate across Riskified to optimize client