Data Analyst – Product & Agent Intelligence

COMPANY OVERVIEW ThreatLocker® is a leader in endpoint protection technologies, providing enterprise-level cybersecurity tools to improve the security of servers and endpoints. The ThreatLocker® platform with Application Allowlisting, Ringfencing™, Storage Control, Elevation Control, Endpoint Network Control, Configuration Management, and Operational Alert solutions are leading the cybersecurity market toward a more secure approach of blocking the exploits of application vulnerabilities. POSITION OVERVIEW ThreatLocker is seeking a highly analytical and proactive Data Analyst to transform agent telemetry and platform data into actionable intelligence. This role will focus on analyzing ThreatLocker agent logs, identifying trends and anomalies, detecting potential issues before customers report them, and delivering insights to both the Development and Solutions Engineering teams. This is not a passive reporting role. We are looking for someone who actively uncovers patterns, predicts problems, and influences product and customer outcomes through data. The role will be based in Orlando, FL and is an in-office position. JOB SCOPE: Data Analysis & Reporting Run recurring and ad-hoc reports on ThreatLocker agent performance, telemetry, and system data. Analyze large datasets from agent logs to identify patterns, anomalies, and emerging trends. Develop dashboards and reporting frameworks that provide visibility into product health and usage trends. Automate data extraction and reporting processes where possible. Proactive Issue Detection Identify potential product issues before they are reported by customers. Detect abnormal behavior patterns across environments, versions, or configurations. Monitor adoption, performance, and stability trends across the ThreatLocker ecosystem. Escalate critical findings with clear, data-backed summaries. Development Team Support Provide actionable insights to the Dev team on: Performance degradation trends Agent-related anomalies Feature usage data Environment-specific issues Work closely with Engineering to validate hypotheses and investigate root causes. Assist in defining KPIs for product stability and performance. Solutions Engineering (SE) Support Analyze customer usage patterns and identify optimization opportunities. Recommend configuration or deployment changes that can improve customer outcomes. Provide data-driven guidance to help SE teams support enterprise clients. Create insights that enable proactive outreach to at-risk or under-optimized customers. Trend & Insight Communication Present findings clearly to technical stakeholders. Produce concise executive-level summaries when needed. Translate raw telemetry data into business-impact insights. REQUIRED QUALIFICATIONS 2 – 5 years of experience in a Data Analyst or similar analytical role. Strong SQL skills (preferred). Experience working with large datasets and log-based data. Proficiency in data visualization tools (Power BI, Tableau, Looker, or similar). Strong Excel skills. Experience working with structured and semi-structured data (JSON, log files, etc.). Ability to identify patterns and anomalies in complex systems. Strong analytical and problem-solving skills. Excellent communication skills with the ability to explain technical findings clearly. Preferred Qualifications Experience in cybersecurity, endpoint security, SaaS, or IT systems. Familiarity with telemetry analysis or agent-based platforms. Experience with Python, R, or similar tools for data analysis. Experience building automated alerting or anomaly detection models. Understanding of both the product and product analytics and customer health metrics. WORKING CONDITIONS: The duties described below are representative of those encountered while performing the essential functions of this position. If necessary, reasonable accommodation may be requested and will be evaluated for its relationship to the essential functions that must be performed. Job will generally be performed