Senior Cybersecurity Analyst
On-siteWestlake, Texas, United States
Job Summary
Monitor and investigate user behavior for indicators of potential insider threats using data-driven behavioral analytics. Create and maintain dashboards, reports, and executive summaries that communicate emerging risks, detection outcomes, and trends to technical and business audiences. Recommend improvements to detection rules, monitoring coverage, and escalation procedures based on effectiveness reviews and incident post-mortems. Develop metrics to assess the accuracy and coverage of insider threat detections and controls, tracking false positive and negative rates, detection latency, and incident response outcomes. Partner with risk, compliance, and Information Security Officers to share findings, generate awareness, and influence how business groups manage insider risks. This role requires a Bachelor's or Master's degree in a relevant technical field and three or one year of experience, respectively, performing in-depth analysis to identify insider risk and data-loss-prevention events across exfiltration channels, endpoints, access logs, and database audit logs.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, or a closely related field (or foreign education equivalent)
- Three (3) years of experience as a Senior Cybersecurity Analyst (or closely related occupation) performing in-depth analysis to identify insider risk and data-loss-prevention (DLP) events across exfiltration channels, endpoints, access logs, and database and server audit logs
- Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Data Science, or a closely related field (or foreign education equivalent)
- One (1) year of experience as a Senior Cybersecurity Analyst (or closely related occupation) performing in-depth analysis to identify insider risk and data-loss-prevention (DLP) events across exfiltration channels, endpoints, access logs, and database and server audit logs
- Demonstrated Expertise designing and implementing data integration pipelines to consolidate structured and unstructured datasets into centralized data warehouses using AWS Glue, Athena, Oracle, MySQL, and Snowflake
- Developing normalized and analytics ready data models using SQL, Python (Pandas, PySpark), Tableau, and Snowflake scripting
- Evaluating and optimizing analytical systems by analyzing KPIs and processing latency to improve data quality, reliability, and reporting performance with Tableau and Power BI
- Developing data models and performance dashboards using Tableau, Power BI, and Athena, and Snowflake
- Defining analytical metrics and trends
- Optimizing visualization performance on large datasets exceeding million rows
- Preparing root-cause analysis reports and analytical summaries for senior stakeholders using Tableau, Power BI, and Python-based reporting
- Developing Python-based automation scripts to perform data lookups, metadata joins, transformations, and enrichment of datasets in Athena, Oracle, MySQL, and Snowflake databases
- Implementing data categorization and analytical classification logic using Python
- Integrating analytical outputs into operational dashboards and reports for leadership review using Tableau/ Power BI
- Designing data architectures and building multi-layered analytical models that combine transactional, behavioral, and operational datasets to establish analytical baselines and detect trends using S3, Athena, Snowflake, and Tableau/Power BI
- Developing Extract, Transform, Load (ETL) workflows and data-quality automation using AWS S3, Snowflake Tasks, CTAS Streams, and stored procedures
- Must be able to lift 50 lbs
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