Data Scientist – Customer Analytics

Job Summary

Key Responsibilities

• Analyse customer behaviour across booking, travel, and loyalty lifecycle to identify actionable insights.
• Develop and refine segmentation models to support targeted campaigns and personalized offers.
• Drive member engagement, tier movement, redemption patterns, and breakage analysis.
• Design and implement dashboards and reports to monitor key customer metrics (CLTV, CAC, NPS, etc.).
• Build predictive models for churn, upsell, cross-sell, and reactivation strategies.
• Support strategic initiatives such as dynamic pricing, ancillary revenue optimization, route-level customer insights and campaign performance.
• Conduct deep-dive analyses to uncover insights on customer journeys, conversion funnels, and campaign performance.
• Drive experimentation and A/B testing to optimize customer engagement and experience.
  

Required Skills And Experience

• 6–8 years of experience in customer analytics, marketing analytics, or related fields.
• Strong proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, etc.).
• Experience with statistical modeling, machine learning, and data mining techniques.
• Solid understanding of customer lifecycle metrics and marketing KPIs.
• Familiarity with customer data platforms (CDPs) and CRM tools.
• Ability to translate complex data into clear business insights and recommendations.
• Excellent communication and stakeholder management skills.
  

Good To Have

• Strong proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI, etc.).
• Experience with statistical modeling, machine learning, and data mining techniques.
• Familiarity with customer data platforms (CDPs) and CRM tools.
  

Educational Qualifications

Location:

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