Data Analyst

Hack The Box

2h•$95,000 - $120,000•Remote

About The Position

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.

Requirements

Expert-level SQL or Snowflake for querying complex relational databases
Experience with Python for data cleaning, automation, and statistical analysis.
Mastery of Looker, or other visualization tools, to create "at-a-glance" executive views and deep-dive operational reports.
High proficiency in Excel (Pivot Tables, VLOOKUPs, modeling).
Can command a room of senior leaders and explain technical data clearly and persuasively.
Builds decks that tell a cohesive story — not just charts, but what they mean for the mission and for risk.
Skilled at managing expectations across diverse departments.
Customer success metrics: churn, adoption, engagement funnels, and learning outcomes.

Nice To Haves

Snowflake a plus / legacy
Comfort using AI-assisted tooling (LLM copilots) to accelerate analysis and prototyping
EdTech or cybersecurity exposure a plus.

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.
Part of 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.

Benefits

USD 95,000 - 120,000 Gross Annual Compensation
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