Staff Performance Data Analyst — United States

About the Company

Hack The Box provides a cybersecurity training platform designed to help organizations strengthen their security capabilities and reduce human-related security risks.

About the Role

Hack The Box is seeking a Staff Performance Data Analyst to measure and demonstrate the business impact of its cybersecurity training platform. This role focuses on analyzing training engagement, user behavior, and security incident data to show how training programs influence organizational security performance.

You will work with large datasets using SQL and Python, develop ROI models, and create dashboards and presentations for executive-level stakeholders. You will also collaborate with clients and internal Product and Data Engineering teams to improve reporting capabilities and provide recommendations based on data insights.

Key Responsibilities

• Analyze data to demonstrate the return on investment of the cybersecurity training platform for key client accounts.

• Use SQL and Python to extract, clean, and analyze large datasets related to training engagement and security incidents.

• Identify correlations between training participation and reductions in security incidents.

• Translate business requirements from senior leadership into technical data solutions.

• Develop ROI models and data-driven presentations for executive stakeholders.

• Build interactive dashboards using tools such as Looker, Tableau, and Power BI to communicate performance metrics.

• Analyze user behavior and simulation logs to identify high-risk user groups.

• Provide clients with recommendations for improving training programs based on engagement and performance data.

• Audit training log data flows from the platform to the reporting layer to maintain data accuracy and reliability.

• Use Excel to develop financial models and conduct ad-hoc risk analysis.

• Lead Executive Business Reviews (EBRs), presenting client security progress and performance insights.

• Collaborate with Product and Data Engineering teams to ensure platform data and reporting capabilities meet evolving requirements.

Required Qualifications

• Expert-level SQL or Snowflake experience, including querying complex relational databases.

• Experience using Python for data cleaning, automation, and statistical analysis.

• Proficiency with Looker and other data visualization tools for executive dashboards and operational reporting.

• Advanced Excel skills, including Pivot Tables, VLOOKUPs, and financial modeling.

• Strong communication and presentation skills, including the ability to present findings to senior leadership.

• Experience creating clear, well-structured presentations that communicate complex data insights.

• Ability to manage stakeholder expectations and work with diverse client requirements.

• Understanding of client success metrics, including churn, adoption, engagement funnels, and learning metrics.

Preferred Qualifications

• Familiarity with the education technology (EdTech) industry.

Salary & Benefits

• Annual base salary: $150,000–$180,000.

• Medical, dental, and vision insurance, with employee coverage fully paid by Hack The Box.

• 401(k) with employer match.

• Employer-paid life and AD&D insurance.

• Supplemental life insurance.

• Short-term and long-term disability coverage.

• Healthcare and dependent care flexible spending accounts (FSAs).

• Paid maternity and paternity leave.

• 25 annual leave days.

• Home office allowance.

• Training and professional development budget, including conference participation.

• State-of-the-art equipment.

• Full access to Hack The Box lab offerings.

Work Arrangement

• Fully remote position.

• Open to candidates in the United States, with East Coast candidates preferred.

Equal Employment Opportunity

Hack The Box is committed to maintaining a diverse, inclusive, and equitable workplace. The company provides equal employment opportunities without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.