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Strong Tier‑1 brand, popular mid‑level title, broad skill requirements, and 3+ years amplifiers.
Marketing Analytics domain and conversational AI requirements create high domain specificity and limited transferability.
Explicit 3+ years plus mandatory ML/LLM, GCP/BigQuery, Python/SQL, and BI tools create strict filters.
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Collaborate with business stakeholders to define KPIs and translate customer behavior questions into actionable analytical solutions.
Design, develop, and deploy predictive propensity models and AI/ML solutions including LLM-based chatbots to improve customer engagement and business outcomes.
Build and optimize BI dashboards and scalable data pipelines while driving process improvements and integrating new technologies like Generative AI.
3+ years of experience in Marketing Analytics domain with strong analytical and problem-solving skills.
Proven expertise in AI/ML modelling, including propensity and predictive models, and hands-on experience with LLM-based chatbot development and conversational AI.
Proficiency in Python, SQL; experience with GCP and BigQuery; dashboard building using Power BI or Qlik Sense.
Educational qualification: MBA/Master's in quantitative disciplines (Mathematics/Statistics/OR/CS/Economics/Engineering) or B-Tech in related engineering discipline.
Experienced in applying advanced AI/ML techniques to customer and marketing analytics problems, with a focus on measurable business impact.
Skilled at cross-functional collaboration to integrate analytical solutions and communicate complex data insights to technical and non-technical stakeholders.
Hands-on with end-to-end data product development including data pipelines, BI dashboarding, and continuous optimization using emerging AI technologies.