Product Analyst (Ground Transport)

Role: Product Analyst Location: Bangalore About the Function   Ground Transport is one of the fastest growing businesses at MakeMyTrip, serving millions of travellers across Bus, Rail and Cab journeys. The business plays a critical role in expanding travel accessibility across India, particularly in Tier 2 and Tier 3 cities, while delivering seamless, affordable and reliable mobility experiences. As travel behaviours evolve, Ground Transport is reimagining the booking and travel experience enabled with AI-first product innovation. From personalized recommendations to conversational booking journeys, automated customer assistance and real-time decision systems, we are building the next generation of travel experiences at scale. The Ground Transport team combines deep consumer understanding, data-driven decision making and cutting-edge technology to solve complex traveller problems across the entire journey lifecycle. Product managers, business leaders, engineers, designers and data scientists work together to build experiences that delight customers and drive meaningful business outcomes.   About the Role   We are looking for a data-driven Product Analyst to join the Ground Transport team. In this role, you will convert product and user journey data into clear insights that help Product Managers validate decisions, measure launches, and shape the roadmap.  The Product Analyst will help the business make better product decisions through data, experimentation, and scalable insight systems. This role will own product performance tracking, support discovery and launch analysis, and build AI-enabled workflows and self-serve analytics tools that reduce dependency on manual requests. The analyst will partner with Product, Data, and Technology teams to turn product questions into trusted metrics, dashboards, and actionable recommendations.  What will you be doing   Build AI-enabled tooling and self-serve workflows  • Identify recurring manual analysis requests and convert them into dashboards, templates, automated reports, or AI-assisted workflows. • Use AI tools to accelerate insight generation, anomaly detection, workflow documentation, and stakeholder-ready summaries. • Partner with data science, product, and technology teams to build a self-serve platform that lets stakeholders answer common product questions independently. • Maintain metric definitions, reusable query logic, and documentation so self-serve outputs remain trusted and consistent. Support product discovery and experimentation • Partner with  Product Managers to frame hypotheses, size opportunities, and evaluate product ideas using data. • Design and analyze experiments, A/B tests, cohort cuts, and pre/post launch reads to guide roadmap decisions. • Create clear readouts that connect analysis to customer impact, business impact, and next actions. Bridge product, data, and technology teams Translate business and product  questions into clear analytical requirements, tracking needs, and data definitions. Collaborate with engineering and data teams to improve event instrumentation, reporting reliability, and analytical coverage. Create structured product insights for leadership reviews, roadmap discussions, and launch retrospectives. Drive product performance visibility Define success  metrics for product launches, feature adoption, funnel movement, engagement, conversion, and retention. Build dashboards and insight narratives that help product and leadership teams understand what is working, what is not, and where to focus next. Identify trends, anomalies, and user journey friction from product data, then translate findings into practical recommendations.   Qualification & Experience   • 1-3 years of  experience in product analytics, business analytics, data analytics, BI, or a related product-facing role. • Strong SQL and Excel or Google Sheets skills; experience with Tableau, Power BI, Looker, or similar visualization tools. • Comfort with product metrics, funnels, cohorts, experiments, and translating analysis into clear business recommendations. • Exposure to AI tools, workflow automation, no-code or low-code tools, Python, or analytics engineering is a plus. • Strong communication skills and the ability to work with Product, Data, Engineering, Growth, and business stakeholders.   Key Success Factors for the Role Success in this role means turning product and user data into clear insights that improve roadmap decisions, feature performance, and customer journeys. The Product Analyst should build trusted dashboards, metrics, and AI-enabled self-serve workflows, while collaborating with the Data Science team on analysis, experimentation, and insight generation. Strong partnership with Product, Data, Technology, and Data Science teams will be key to translating business questions into scalable analytics solutions.