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Metro-based mid-level data role with common skills but niche intelligence domain yields moderate competition.
Intelligence-domain expertise and NDA-grade corpora handling make background transferability limited and highly sensitive.
Mandatory advanced SQL/Python/statistics, NDA handling, and domain rigor enforce moderate shortlisting strictness.
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Produce interpretive insight from large, multi-source data sets to directly influence client strategic decisions.
Design analytical questions that determine client decisions and run SQL and Python analyses to generate recurring intelligence products.
Present and defend findings to strategists and clients, maintain confidence grading and data-quality standards, and mentor junior analysts.
Proficient in advanced SQL and production-level Python (pandas) for data analysis.
Experience with statistical methods including significance testing, regression, and time-series analysis.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to handle NDA-grade confidential data with strict discretion.
Analyst with demonstrated ability to deliver decision-grade insight from complex, imperfect datasets and to maintain rigorous data-quality controls.
Experienced in managing multiple live engagements supporting diverse intelligence domains (politics, security, reputation, finance).
Skilled in client-facing presentations and defending analytic methods under scrutiny, with mentoring experience for junior staff.