Data Analyst

Location & Work Mode

• US (East Coast preferred)
• Fully Remote

• 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.

• 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).