Data Scientist Customer Analytics
Job 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:
- 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:
- 68 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:
Bachelors or Masters degree in Statistics Economics Data Science or a related field.
Location:Akasa Air Head Office - Mumbai
Akasa Air does not solicit or accept any form of payment from candidates or institutions during its recruitment process. Any such claims are fraudulent and should be disregarded.
Individuals engaging with unauthorized entities do so at their own risk. We encourage you to report any such incidents to for appropriate action.
Data Scientist Customer AnalyticsJob 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 segmen...
Data Scientist Customer Analytics
Job 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:
- 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:
- 68 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:
Bachelors or Masters degree in Statistics Economics Data Science or a related field.
Location:Akasa Air Head Office - Mumbai
Akasa Air does not solicit or accept any form of payment from candidates or institutions during its recruitment process. Any such claims are fraudulent and should be disregarded.
Individuals engaging with unauthorized entities do so at their own risk. We encourage you to report any such incidents to for appropriate action.
View more
View less