Related skills
r sql nosql python spark📋 Description
- Collaborate with tech and business teams to build data insights.
- Develop robust analytics solutions and dashboards for decisions.
- Leverage ML infrastructure to build analytics with engineers and PMs.
- Understand fraud friction and risk with regulatory compliance.
- Influence data-driven decisions across global sites and teams.
🎯 Requirements
- 6+ years in quantitative analytics with an advanced degree.
- Strong cross-functional communication and collaboration.
- Proven full-stack data projects delivering business impact.
- Advanced SQL/NoSQL; Python/R/SAS programming.
- Experience with Presto, Hive, Teradata, Spark.
- ML techniques and Tableau BI; EDA and A/B testing.
🎁 Benefits
- Competitive compensation, equity, and comprehensive benefits.
- Employee travel credits and bonus incentives.
- Commitment to inclusion and belonging.
- Global teams and cross-cultural collaboration.
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