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Popular generalist analytics/AI role in a metro with early-career requirement increases applicant density.
Analytics and ML skills transfer easily across industries, enabling broad background fit.
Mandates Python, SQL, and AI/LLM skills despite minimal years, creating moderate screening.
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Own end-to-end analytics and AI solutions including diagnosis, solution building, and driving measurable business outcomes.
Develop predictive models, automated pipelines, and intelligence layers to reduce manual intervention and produce impactful results.
Build and maintain scalable data infrastructure with robust pipelines, data models, and quality checks, and optimize analytics delivery to stakeholders.
Minimum 1 year of applied experience in analytics or data science projects.
Strong proficiency in Python and SQL with solid data management fundamentals.
Baseline AI fluency, including active use of large language models (LLMs) and experience building AI-powered operational workflows.
Work Experience Required: 1+ years in analytics or data science
Comfortable handling ambiguous problems and identifying root causes rather than just executing given queries.
Capable of independently scoping and executing solutions end-to-end with ownership.
Experienced in leveraging AI technologies actively for workflow optimization and building operational AI workflows.