Associate Director - Marketing Analytics & Digital

Role

We are looking for Lead - Marketing Analytics & Insights to turn data insights into actionable growth decisions, leveraging AI in a deep way. This role will work closely with Brand, CLM, Data Science, and other teams to identify opportunities, challenge assumptions, and drive efficient growth using Analytics and AI. This is not a reporting role—the focus is on answering:

What should we do differently to grow better

Roles & Responsibilities

• Own high-impact problem statements to identify growth and efficiency opportunities across new and
• existing users
• Drive repeat usage and retention, contributing to CLM strategy and campaigns.
• Identify new segments & cohorts for growth, across geographies & LOBs
• Take up opportunity sizing for all our LoBs
• Apply data- and AI-driven thinking to identify new growth levers.
• Analyze and optimize marketing spend, including email and communication channels.
• Build unified customer profiles to understand behavior across product lines.
• Map customer journeys for cross-sell opportunities and recommend optimal timing for communications.
• Decompose repeat rates to identify high-performing and underperforming segments.
• Leverage NPS and other feedback to predict churn and improve customer engagement.
• Move from generic forecasts to cohort-level predictions to guide marketing, inventory, and communication strategies.
• Provide deep consumer and journey insights to support cross-business initiatives (Bus × Hotel × Rail).
  
  

Educational Qualification: BE/B Tech/Bachelor in Maths/Bachelor in Mathematics/MA Economics/ MBA

Years of Experience (Minimum & Maximum) : 8-10 years

What is the nature and scope of responsibilities the candidate should have handled

• 8-10 years of experience in marketing analytics, growth analytics, quantitative consumer research or consulting
• Strong problem-solving and strategic thinking skills.
• Hands-on experience with analytics, AI/ML frameworks, and consumer insights.
• Proven ability to translate data into business decisions.
• Comfortable challenging assumptions and driving change in a fast-paced environment.
• Strong communication and stakeholder management skills.