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Big-four brand, metro location, mid-level generalist title, and common data skillset increase applicant competition despite Palantir specialization.
Core analytics, forecasting, and Python/SQL skills transfer across industries, though Palantir platform experience reduces portability.
Explicit 2-4 years plus mandatory Palantir, cloud, SQL, and Python requirements make shortlisting highly selective.
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Leverage supply chain analytics including demand forecasting, inventory optimization, logistics, segmentation, and network design to deliver client insights.
Apply advanced optimization techniques such as linear programming, mixed integer programming, and scheduling optimization using tools like Gurobi.
Develop and deploy statistical, forecasting, and machine learning models on cloud platforms (Azure/AWS/GCP/Palantir) using SQL and Python, integrating orchestration tools like Cloud Composer (Airflow).
2-4 years of relevant work experience in data analytics or supply chain analytics.
Bachelor's degree in Engineering (B.E/B.Tech) or equivalent; MBA/M.E/M.Tech also accepted.
Proficiency in Palantir software is mandatory; strong SQL and Python programming skills required.
Familiarity with cloud platforms Azure, AWS, GCP, or Palantir and experience deploying models in cloud environments.
Experience working with supply chain domains covering forecasting, inventory optimization, and logistics at a detailed technical level.
Strong technical expertise in advanced optimization methods and statistical modeling combined with cloud deployment skills.
Comfortable operating in advisory/consulting environments delivering data-driven business insights using robust analytics platforms like Palantir.