Business Analyst Intern

Business Analyst Intern

About Buyhatke

Buyhatke is India's leading AI-driven shopping intelligence platform, serving millions of users monthly with real-time price comparisons, deal alerts, and smart shopping insights across major marketplaces like Amazon, Flipkart, and Myntra. We're building the most comprehensive commerce intelligence layer to ensure transparency and savings for consumers while connecting high-intent shoppers with businesses.

The Role

We are seeking a Business Analyst Intern to join our data intelligence team. You will work on large-scale transactional datasets, user journey events, and behavioral signals to generate insights that shape our data intelligence vertical.This is a hands-on role where you will leverage AI powered tools and data analysis to solve real-world problems in e-commerce, consumer behavior, and product growth.

Key Responsibilities

• Analyze transactional datasets, user journey events, and behavioral flows to uncover patterns, discrepancies, drop-offs, and opportunities.
• Evaluate product features (e.g., Cab Compare, Buyhatke shopping tool) through data-driven experiments, funnel analysis, and benchmarking.
• Conduct retention, churn, and uninstall analysis to identify friction points and recommend targeted interventions.
• Work with large datasets and APIs to assess data accuracy, identify structural or format breakages, and uncover discrepancies in collected data.
• Build dashboards, market reports, and market intelligence summaries to support leadership and partner discussions.
• Collaborate with product, marketing, and business teams to translate insights into actionable strategies and efficiency improvements.

Requirements

• Currently pursuing/completed a Bachelors or Masters degree.
• Interest in business development, data analytics, or the tech ecosystem.
• Prior internship or project experience in data analysis, business development, or product development is a plus.
  
  Skills & Expertise

• Strong analytical and problem-solving skills with attention to detail and ability to detect data inconsistencies or format breakages.
• Familiarity with data tools (Excel, SQL, Python, or similar) and AI tools for data analysis and automation and willingness to learn is essential.
• Proactive, curious, and eager to work with data at scale in a fast-paced environment while bringing new ideas to improve team efficiency.

What You'll Gain:

• Hands-on exposure to large-scale transactional data and event-driven analytics.
• Opportunity to work on real-world e-commerce problems with direct business impact.
• Experience in projects driving user engagement, retention, and product adoption strategies.