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Generalist Data Analyst title, metro location, and rolling hiring increase applicant competition.
Core data skills are transferable but domain-specific NDA work and political/OSINT context raise medium sensitivity.
Mandatory advanced SQL, production Python, statistical rigor and NDA discipline create moderate filtering of candidates.
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Own end-to-end analytical processes for live client engagements, including dataset design, data quality enforcement, measurement architecture, and delivering recurring reports.
Serve as the numbers authority in client briefings, answer data validity queries, and maintain audit trails for all presented data.
Mentor analyst interns and contribute to internship conversion decisions, strengthening the analytics team's capacity and quality.
Proficiency in advanced SQL, production-grade Python (pandas, statsmodels, scikit-learn), and dashboard tools like Metabase or Grafana.
Experience in statistical analysis including hypothesis testing, regression, and time-series fundamentals.
Ability to perform data-quality forensics to identify data manipulation, bot signatures, and sampling bias.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing analytical workflows for multi-source datasets and maintaining rigorous data-cleaning and quality assurance processes.
Comfortable operating in a high-urgency, time-sensitive environment involving diverse intelligence domains such as politics, reputation, security, and finance.
Demonstrated ability to mentor junior analysts and interns and deliver client-facing analytical insights under skeptical questioning.