Product Analyst

Company Description

Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com

About the Role

As a Product & Business Analyst, you will be the bridge between raw data and strategic decisions. You will not only analyze what is happening but also help predict what will happen, leveraging advanced analytics, automation, and AI to uncover deep insights. You will translate complex data into clear, actionable recommendations that empower our product and business teams to make informed decisions, drive growth, and enhance user engagement.

Key Responsibilities

Core Analysis & Insights:

• Execute end-to-end data projects, answering key business questions through robust analytical frameworks and delivering actionable insights.
• Track and analyze user behavior across product flows (clickstream, data events, drop-offs, conversion funnels) to identify points of friction and opportunities for improvement.
• Conduct deep-dive analyses to support product, business and growth teams, including cohort analysis (LTV), advanced user segmentation, pricing elasticity, and demand forecasting.

BI & Automated Reporting:

• Build, maintain, and automate intuitive, self-service management dashboards to track core growth metrics (user acquisition, engagement, retention).
• Develop and deploy automated reporting solutions across Performance, SEO, ASO, and CRM, integrating company-wide KPIs to provide a single source of truth.

AI & Predictive Analytics:

• Identify and implement opportunities for AI-driven automation within the analytics workflow to improve efficiency and scale insights generation.
• Leverage statistical methods and AI/ML techniques to identify anomalies, forecast key trends, and build predictive models for user churn, segmentation, and lifetime value.
• Partner with product and data science teams to support the development and evaluation of new AI-powered product features.

Experimentation & Strategy:

• Design, measure, and evaluate the impact of A/B tests and growth experiments across all product verticals and payment experience.
• Drive periodic metrics reviews with stakeholders, presenting data-driven recommendations that inform the product roadmap and business strategy.

Qualifications:

• Bachelor’s/Master’s degree in Engineering, Statistics, Economics, Data Science, or a related quantitative field.
• 2-4 years of hands-on experience in product analytics, business analytics, decision sciences, or a related role.

Technical Skills:

• Expert proficiency in SQL for complex data extraction and manipulation from large datasets.
• Strong command of Python or R for advanced analysis, statistical modeling, and task automation.
• Advanced proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) to create impactful, self-service dashboards.
• Experience with AI tools e.g. Cursor, n8n for quick prototype, automation and development using AI

Domain Knowledge:

• Experience with product analytics and CRM/CDP tools (e.g., Google Analytics, Amplitude, Mixpanel, Clevertap).
• Practical experience in designing and analyzing A/B tests.

Analytical Acumen:

• Familiarity with statistical methods and machine learning concepts (e.g., regression, classification, clustering, anomaly detection).
• Excellent analytical and problem-solving skills with a proven ability to turn data into tangible business impact.

Soft Skills:

• Strong business acumen and a passion for understanding user behavior.
• Excellent communication and presentation skills, with the ability to explain complex analyses to non-technical stakeholders.