Job Description
- Identify impactful detection leads that increase velocity from the time of threat identification to implementation of mitigation in our products
- Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards
- Deploy long-term defenses based on statistical analysis of supply chain data and fraud actor behavior
- Deliver new customer-facing features through collaboration with Product and Engineering teams
- Build complex queries and reports to analyze historical data, including the use of techniques such as: sub-queries, temp tables, complex joins, and variables
- Triage customer and internal inquiries about fraud efficacy by acting as the first line of analysis
- Maintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process it
- Create detailed documentation of models, algorithms, and analyses to build visibility and audibility of work
Qualifications
- 3+ years of experience as a data analyst
- Strong SQL programming skills
- Knowledge of Python
- Experience working with multi-TB to PB data sets in cloud databases
- Experience improving processes and implementing tooling to accelerate analysis
- Upper-Intermediate level of spoken and written English
WOULD BE A PLUS
- Experience in the AdTech domain
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