Analytics Engineer - 2 - Remote

Overview

Abnormal Security empowers enterprises of all sizes to combat cybercrime with our advanced cloud products. As the threat landscape continuously evolves, we emphasize vigilance and adaptability in our defense strategies. The Detection Data Science team plays a crucial role in providing insights into current and historical product performance, emerging attack trends, and opportunities to enhance our detection capabilities. This requires accurate and timely data sourced from numerous product applications and thousands of detection signals across billions of emails. The team integrates all relevant data into a comprehensive analytics pipeline using DBT (Data Build Tool). This pipeline facilitates a wide range of functions, including the creation of metrics and dashboards, data analysis, model development, and the generation of customer reports.

In Short

• Full ownership of the DBT analytics pipeline.
• Design and implement innovative data models.
• Expand the DBT analytics pipeline into new regions.
• Build and maintain the DBT analytics pipeline within the FedRAMP environment.
• Ensure data consistency, accuracy, and accessibility.
• Continuously seek and implement innovative solutions.

Requirements

• 3+ years of experience in data-driven landscapes.
• Expert in SQL and building data models.
• 2+ years of experience with DBT.
• Understanding of software engineering principles.
• Experience with Python or R for data orchestration.
• BS degree in Computer Science or related field.
• Experience translating business processes into data structures.
• Experience working with cross-functional teams.

Benefits

• Opportunity to work in a dynamic environment.
• Engagement with cutting-edge technology.
• Collaboration with cross-functional teams.
• Potential for career growth.
• Work in a hybrid model.