Key Responsibilities

- Analyze customer lifecycle metrics across acquisition, activation, repeat bookings, and win-back campaigns.
- Build customer segments using RFM analysis, behavioral patterns, cohort retention, and repeat booking trends.
- Measure campaign performance across Push Notifications, Email, SMS, WhatsApp, and In-app channels.
- Track campaign KPIs including engagement, conversions, GMV, ROI, and cost efficiency.
- Design and analyze A/B tests, holdout groups, and experiments to measure incremental campaign impact.
- Develop and maintain automated dashboards and reports using BI and analytics tools.
- Leverage AI tools and LLMs to automate reporting, generate campaign insights, identify anomalies, and reduce manual effort.
- Collaborate with Product, Engineering, Marketing, and Growth teams to improve data quality, event tracking, and campaign effectiveness.

Required Skills

- Strong proficiency in SQL , including complex queries, data extraction, and handling large datasets.




- Hands-on experience with AI tools or LLMs for analytics, reporting, or workflow automation.
- Working knowledge of campaign analytics, customer behavior analysis, and performance measurement.
- Understanding of A/B testing, experimentation, cohort analysis, and statistical significance.
- Familiarity with Tableau, Power BI, or Looker Studio.
- Python knowledge, particularly Pandas and NumPy, is preferred.
- Strong analytical thinking, problem-solving, and stakeholder management skills.

Candidate Profile

- 1-3 years of experience in CLM Analytics, Marketing Analytics, Product Analytics, Pricing Analytics, or a similar data-driven role.
- Experience in e-commerce, travel-tech, or consumer internet businesses is an added advantage.
- Candidates who enjoy working with data, automation, AI-led workflows, and customer insights will be a valuable fit.

📌 CLM - Analyst (Bengaluru)
🏢 MakeMyTrip
📍 Bengaluru