Posted:6 days ago| Platform:
On-site
Full Time
About the Opportunity: Role : Product Analyst Level : Assistant Manager/Deputy Manager Location : Gurgaon About the Function: When it comes to booking a flight, MakeMyTrip is the undisputed leader in the air travel segment. As a Product Analyst on the MakeMyTrip Group's Flights team— overseeing the Flights Product for both MakeMyTrip and Goibibo—you will be instrumental in turning vast volumes of data into meaningful product decisions. Collaborating with a dynamic product and tech team, you'll harness the power of advanced analytics, generative AI, and behavioral insights to uncover opportunities, tackle real customer challenges, and drive key initiatives across funnel conversion, monetization, ancillary adoption, Net Promoter Score (NPS), and the expansion of cutting-edge travel solutions throughout India About the Role: The incumbent will be responsible for setting up the MakeMyTrip Group's Flights product charter/roadmap & strategy, as well as feature definitions of the product and will also lead the product implementation & launch. This role is ideal for data storytellers who love influencing what gets built and why – and who are excited by the opportunity to shape the next generation of travel products using the power of data, automation, and AI What will you be doing: Deep-dive into funnel metrics, behavioral data, customer feedback, and booking patterns to uncover friction points, drop-offs, and growth opportunities. Collaborate closely with product managers, engineers, and data scientists to codefine problem statements, prioritize product bets, and quantify impact. Identify, analyze, and interpret trends and patterns in complex data sets. Integrate Gen AI models (e.g., prompt-driven user clustering, LLM-powered segmentation, sentiment extraction) into analysis pipelines to accelerate insights. Develop and maintain large data sets, and create scalable dashboards and AIaugmented storytelling tools for product reviews, experiment outcomes, and leadership reporting. Monitor market trends, competitive benchmarks, and user research to recommend feature sets that align with industry shifts and evolving user needs. Help define success metrics for product initiatives, run A/B tests, and evaluate performance post-launch. Build and optimize data pipelines to enable faster feedback loops between user behavior and product iteration. Present findings through visually engaging, compelling narratives that drive confident decision-making Qualification & Experience Bachelor's or Master’s degree in Engineering, or related field. 6–8 years of experience in data analytics, preferably in a product-led, consumer tech environment. Prior experience in consumer internet, travel, fintech, or e-commerce is highly preferred. Strong command of advanced SQL, Python, and Excel — a must-have. Hands-on experience with BI tools (e.g., Tableau, Power BI, Metabase) and experimentation tracking. Exposure to Gen AI tools or prompt engineering, LLM-based data summarization, or experience working with NLP models is a strong plus Key Success Factors for the Role A passion for user-centric problem solving and impact-first thinking. Detail-oriented and highly organized, with the ability to manage multiple priorities and thrive in a fast-paced, iterative environment with shifting demands. Excellent communication skills, stakeholder alignment, and product thinking. A proactive self-starter who can navigate ambiguity, rally cross-functional teams, and deliver high-quality outcomes. An interest in how AI and automation are redefining product roles — along with the enthusiasm to stay ahead of the curve Show more Show less
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