Clm Analyst

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:

• 13 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 good fit.