Data Analyst

The Core Mission

As a Data Analyst, you will be the analytical engine behind our most important client relationships. Your mission is to use data to prove the ROI of our cybersecurity training platform. You will navigate complex datasets using SQL to uncover how our training impacts human risk, then use your storytelling expertise to present these insights to executive level stakeholders.

Location & Work Mode

• US (East Coast preferred)
• Full Remote

Technology Tools & Weapons

• Looker (primary) and Tableau
• SQL on BigQuery (Snowflake a plus / legacy)
• Python for analysis, automation, and statistics
• Excel for modeling and ad-hoc work
• Comfort using AI-assisted tooling (LLM copilots) to accelerate analysis and prototyping

Responsibilities

• Partner with Federal agency stakeholders to translate compliance and security needs into data-driven success plans, turning USG leadership's business requirements into technical data solutions.
• Use SQL and Python to extract and shape large datasets, surfacing correlations between training engagement and reduced security incidents. Build interactive Looker/Tableau dashboards and presentations that make ROI legible at every level of the USG.
• Run deep-dive analysis on user behavior and simulation logs to identify high-risk cohorts, and give clients tailored recommendations to optimize their training curriculum based on engagement signals (completion velocity, adoption, drop-off).
• Maintain rigorous data hygiene by auditing the flow of training telemetry from platform to reporting layer. Use Python/SQL for rapid prototyping of risk models and ad-hoc "what-if" analysis for client presentations.
• Participate in Executive Business Reviews (EBRs) where you will discuss the client’s progress and way forward, and partner with Product and Data Engineering to ensure platform telemetry keeps pace with the market's reporting needs.

Technical Mastery

• Data Manipulation: Can translate raw data into useful insights for executives; Expert-level SQL or Snowflake for querying complex relational databases; Experience with Python for data cleaning, automation, and statistical analysis.
• Visualization: Mastery of Looker, or other visualization tools, to create "at-a-glance" executive views and deep-dive operational reports.
• Tools: High proficiency in Excel (Pivot Tables, VLOOKUPs, modeling).

Soft Skills & Storytelling

• Communication: Can command a room of senior leaders and explain technical data clearly and persuasively.
• Presentation: Builds decks that tell a cohesive story — not just charts, but what they mean for the mission and for risk.
• Stakeholder management: Skilled at managing expectations across diverse departments.

Domain Expertise

• Customer success metrics: churn, adoption, engagement funnels, and learning outcomes.
• Industry context: EdTech or cybersecurity exposure a plus.

Benefits

• Compensation: USD 95,000 - 120,000 Gross Annual
• Medical, Dental & Vision (employee coverage 100% paid for by Hack The Box)
• 401K w/ employer match
• Employer-paid Life and AD&D Insurance
• Supplemental Life Insurance
• Short-term and Long-term Disability
• Healthcare and Dependent Care FSA
• Paid paternity & maternity leave
• 25 annual leave days
• Home Office Allowance
• Dedicated budget for training and professional development, participation in conferences
• State-of-the-art equipment
• Full access to the Hack The Box lab offerings; so you can learn how to hack