Data Scientist -Customer Analytics

5 - 8 years

25 - 30 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Position Summary :

We are seeking a highly analytical and business-savvy professional in Customer Loyalty & CRM function to drive customer analytics initiatives and strategic decision-making. The ideal candidate will have a strong background in data analysis, customer segmentation, and predictive modeling, with a proven ability to translate insights into actionable business strategies.

Key Responsibilities :

  • The role would involve but is not limited to the following 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.

Desired Qualification / certifications :

Bachelors or Masters degree in Statistics, Economics, Data Science, or a related field.

Preferred relevant work experience :

6 or 8 years of experience in customer analytics, marketing analytics, or related fields.

Skills and knowledge :

  • 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.

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