Consultant II – Analytics driving marketing performance through data analysis and insights. Building predictive models and preparing client-ready presentations for leading brands.
Responsibilities
Build predictive models and segmentation frameworks to support marketing initiatives
Target the top performing segments in the upcoming direct marketing campaigns
Conduct post-campaign analysis, ad-hoc deep dives, and performance reporting
Translate business problems into analytical approaches and actionable solutions
Prepare clear, concise client-facing decks and present findings to business audiences
Deliver high-quality, accurate, and error-free analytical outputs
Requirements
2+ years of experience in analytics with a Master’s/PGDM (preferably in Analytics or related major)
OR 3+ years of experience with a Bachelor’s degree (preferably in Analytics or related major)
Strong hands-on skills in Python/R, MS Excel/ PowerPoint, SAS, and SQL (prior experience in SAS is preferred but not mandatory)
Solid understanding and experience of machine learning techniques such as linear/logistic regression, decision trees, random forests, XGBoost, and customer segmentation
Excellent communication skills with the ability to present complex technical concepts to business stakeholders
Strong attention to detail, self-motivation, and a continuous learning mindset.
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