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Tier-1 brand, mid-level generalist data scientist in Gurgaon with common SQL/Python skills increases competition.
SQL and Python analytics skills transfer broadly, but travel commercial-ops context adds moderate domain specificity.
Explicit 2–5 years plus required SQL and Python create moderate shortlisting filters.
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Translate commercial and account management challenges into analytical problems and deliver actionable insights to support decision-making.
Extract and integrate data from multiple sources to generate required datasets for analysis.
Engage with stakeholders across Account Management, Commercial Operations, Data Engineering, Machine Learning, and Product & Tech to prioritize challenges and communicate insights effectively.
Bachelor’s or Master’s degree in Business, Economics, Statistics, Mathematics, or related quantitative field (or equivalent experience).
2 to 5 years of experience in analytics, business intelligence, or a related field with demonstrated impact through insights.
Proficiency in SQL and Python; exposure to AI or automation tools is a plus.
Work Experience Required: 2 to 5 years in relevant analytics or business intelligence roles.
Experienced in commercial or account management analytics with ability to frame complex business problems analytically.
Skilled at stakeholder management including executive levels (VP+) with strong communication and presentation abilities.
Comfortable working cross-functionally with data engineering, machine learning scientists, and product/tech teams to drive business outcomes.