Related skills
looker snowflake sql tableau dbt📋 Description
- Own data analysis and visualization; monitor fraud costs, chargebacks, and rates.
- Communicate outcomes to cross-functional stakeholders and senior leadership.
- Develop SSOT dashboards and reporting models with DBT and Snowflake.
- Collaborate on roadmaps with Product, Data Science, and Xfn Analytics.
- Analyze shopper behavior signals to detect fraud patterns.
- Design and run A/B tests and multivariate experiments.
🎯 Requirements
- 6-8 years of analytical experience, preferably payments, fraud, or identity.
- Strong SQL skills; complex queries, joins, and optimization.
- Experience with R or Python; fluency in at least one.
- Experience with analytics/visualization tools (Mode, Tableau, Looker, etc.).
- Understanding of A/B testing and statistics.
- Excellent communication; able to synthesize insights for stakeholders.
🎁 Benefits
- Flexible remote work options (Remote, Office, or Hybrid).
- Equity grant and annual refresh grants.
- Market-competitive compensation and benefits.
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