Senior Analytics Engineer

October 1

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KnowBe4

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Cybersecurity • SaaS • Education

KnowBe4 is a leading platform specializing in security awareness training and simulated phishing to help organizations manage the human element of cybersecurity. The KnowBe4 HRM+ platform is used by approximately 70,000 organizations globally to bolster cybersecurity risk management strategies, integrating AI-powered solutions to improve security culture and user behavior. KnowBe4 offers a comprehensive array of products including email security, security coaching, and compliance training, designed to educate and protect against social engineering, phishing, and other cyber threats. Its innovative approach combines real-time security coaching and AI-defense agents to mitigate human risks and reduce vulnerabilities. Trusted by many top cybersecurity companies, KnowBe4 is a significant player in enhancing security awareness and compliance across industries.

1001 - 5000 employees

Founded 2010

🔒 Cybersecurity

☁️ SaaS

📚 Education

📋 Description

• Writes high engineering quality SQL and Python based transformations running in cloud data warehouses (in ELT fashion) • Serves as the responsible individual for major sections of the Enterprise Dimensional Model through model design, code development, reviews, pairing, and training to deliver optimal and scalable database designs and queries • Leads four or more departmental analytics engineer projects from beginning to operationalization • Setup threat intelligence metrics dashboards across a variety of knowbe4’s products • Understand core product features and come up with new metrics to track the efficacy of these products • Collaborate with product managers and fellow engineers to establish and refine requirements • Contribute directly to existing data pipelines when building out new metrics

🎯 Requirements

• BS or equivalent plus 8 years experience • MS or equivalent plus 3 years experience • Ph.D. or equivalent plus 2 years experience • Experience with common SQL and no-sql databases such as PostgreSQL, MySQL and MongoDB • An understanding of machine learning and statistical methods and how they are applied • Experience using Data Science libraries such as Pandas, Numpy, and Scikit-Learn • Experience with BI and visualization tools such as Quicksights, Looker and PowerBi • Able to leverage structured formats like JSON, YAML and related technologies to build scalable, testable applications in Docker and other tools. • Ability to appropriately use GenAI to accelerate their learning and development • Understanding of web frameworks (FastApi, Flask, Django, Rails, Laravel) • Great communicator and team player • Creativity, initiative and acute attention to detail • Experience with Amazon Web Services (AWS) particularly Athena, Sagemaker, EMR and Step Functions

🏖️ Benefits

• Company-wide bonuses based on monthly sales targets • Employee referral bonuses • Adoption assistance • Tuition reimbursement • Certification reimbursement • Certification completion bonuses • Relaxed dress code • Modern, high-tech, and fun work environment