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Data Analyst

Job in Sumter, Sumter County, South Carolina, 29153, USA
Listing for: Hack The Box
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Staff Performance Data Analyst

Location & Work Mode

  • US (East Coast preferred)
  • Fully Remote
Responsibilities
  • Use data to prove the ROI of the cybersecurity training platform for key client relationships.
  • Navigate complex datasets using SQL and Python to uncover how training impacts human risk.
  • Translate business requirements from senior leadership stakeholders into technical data solutions.
  • Create ROI models and data stories for executive-level stakeholders.
  • Extract and manipulate large datasets with Python and SQL, identifying correlations between training engagement and a reduction in security incidents.
  • Build interactive dashboards and presentations (e.g., Looker, Tableau, Power BI) to showcase ROI and performance metrics.
  • Perform deep‑dive analysis on user behavior and simulation logs to identify high‑risk cohorts.
  • Provide tailored recommendations to clients on optimizing training curricula based on engagement metrics.
  • Maintain high standards of data hygiene by auditing the flow of training logs from the platform to the reporting layer.
  • Use Excel for rapid prototyping of financial models and ad‑hoc risk analysis.
  • Lead Executive Business Reviews (EBRs) presenting the client's security evolution narrative.
  • Collaborate with internal Product and Data Engineering teams to ensure platform telemetry meets evolving reporting needs.
Qualifications
  • Expert‑level SQL or Snowflake for querying complex relational databases.
  • Experience with Python for data cleaning, automation, and statistical analysis.
  • Proficiency in Looker and other visualization tools for creating executive views and deep‑dive operational reports.
  • Advanced Excel skills (Pivot Tables, VLOOKUPs, modeling).
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