Description :

Designation : Data Scientist Customer Analytics

Grade : Senior Manager

Key Criteria :

- 6 to 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.

Required Skills & Experience :

- 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.

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 :

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