Data Analyst

October 23

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iVerify

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Cybersecurity • SaaS • Enterprise

iVerify is a leading mobile security platform focused on providing advanced threat protection for enterprises. The company emphasizes the importance of mobile security in corporate settings by offering solutions such as mobile EDR, smishing protection, threat hunting, and vulnerability management. iVerify's platform ensures maximum security and privacy for mobile devices, which are increasingly becoming significant endpoints in IT security. They highlight the importance of protecting mobile devices from threats like spyware, ransomware, malware, and unauthorized access. With features enhanced by artificial intelligence and machine learning, iVerify aims to safeguard corporate credentials, two-factor authentication, and intellectual property from mobile-based attacks.

2 - 10 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

📋 Description

• Analyze large, complex mobile telemetry datasets to identify trends, anomalies, and threat patterns. • Build and maintain dashboards tracking platform performance, detection efficacy, and telemetry coverage. • Collaborate with the security research and detection teams to design data-driven experiments and surface emerging patterns of interest. • Translate complex data into clear, actionable insights that inform product decisions, customer reporting, and platform improvements. • Monitor the completeness and consistency of incoming data streams. Highlight quality issues and collaborate with the data engineering team to resolve them. • Develop repeatable reporting processes and automated queries to track key performance indicators across product and detection metrics. • Work cross-functionally with engineering, machine learning, research, and customer success teams to make data accessible, explain findings, and support decisions with evidence. • Support the creation of data-driven detections and models by providing clean, validated datasets and exploratory findings.

🎯 Requirements

• 4+ years of experience as a Data Analyst, Product Analyst, or similar analytical role. • Advanced SQL skills and hands-on experience working with large datasets. • Strong Python proficiency for data analysis (Pandas, NumPy, Jupyter). • Experience building reports and visualizations with Tableau, Power BI, or equivalent BI tools. • Proven ability to identify trends, anomalies, and correlations within complex datasets. • Experience working cross-functionally with engineering, research, and product teams. • Excellent communication skills, able to translate technical findings into actionable business or product insights. • Nice to Have: Experience working with security or threat intelligence data, telemetry, or log-based systems. • Nice to Have: Familiarity with modern data infrastructure, such as cloud data warehouses and version-controlled analytics tools.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development