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Mid LevelFull-timePythonAWSMachine LearningData ScienceGoAI
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Analyst to join the Protect360 algorithms team at AppsFlyer, the market leader in mobile app measurement and attribution. This role involves researching fraud patterns, analyzing large-scale data, and supporting the development and monitoring of fraud-detection algorithms.
Key Responsibilities
- →Analyze large, complex datasets to identify fraud patterns and emerging threats.
- →Design and write high-performance SQL queries for large-scale data analysis.
- →Use Python for data analysis, exploration, validation, and workflow automation.
- →Support the development, evaluation, and monitoring of fraud-detection models.
- →Build analytical tools, reports, and dashboards to track algorithm performance and fraud trends.
- →Collaborate with data scientists, engineers, and product managers on R&D initiatives.
- →Translate business and product questions into data-driven insights and recommendations.
Requirements
- ✓3+ years of experience as a Data Analyst in a large-scale data or R&D environment.
- ✓B.Sc. in Industrial Engineering, Statistics, Mathematics, Computer Science, or a related field.
- ✓Strong proficiency in SQL and experience working with large-scale datasets.
- ✓Hands-on experience with Python for data analysis (e.g., pandas, numpy).
- ✓Hands-on experience with BI tools such as Looker, Power BI, Tableau, or similar.
- ✓Strong analytical skills and ability to solve complex, ambiguous problems.
- ✓Clear communicator with both technical and non-technical stakeholders.
- ✓Independent, proactive, and comfortable in a fast-paced environment.
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