Marketing Analytics

About The Opportunity

Role: Marketing Analytics

Level: Assistant Manager

Location: Gurugram

Reporting To: Senior Manager - Marketing Insights and Analytics

About The Function

The Marketing team at MakeMyTrip plays a critical role in shaping brand perception, driving customer acquisition, and unlocking growth across our lines of business. The function works across brand marketing, performance marketing, CRM, mobile marketing, and social/digital channels to build high-impact campaigns that strengthen customer engagement and elevate MMT’s presence in the market.

Within this ecosystem, the Marketing Insights & Analytics team serves as the strategic backbone that fuels data-led decision-making. The team partners closely with marketing leaders and cross-functional stakeholders to define key performance metrics, set up robust measurement frameworks, and uncover insights that drive performance improvement. From campaign analytics and attribution modeling to customer segmentation and channel optimization, the function plays a pivotal role in shaping marketing strategy, enhancing ROI, and powering innovation through deep data-driven intelligence.

About The Role

The incumbent will be responsible for solving complex marketing and business problems through advanced analytics and data science. The role demands strong proficiency in SQL and Python, along with the ability to design, build, and operationalize statistical or machine learning models that deliver measurable business impact. This position involves translating ambiguous business questions into structured analytical approaches, conducting deep-dive analyses, and identifying root causes to guide strategic and tactical decision-making. The incumbent will collaborate closely with marketing, product, and business teams to deliver scalable, insights-led solutions that enhance performance, improve customer outcomes, and drive continuous optimization.

What Will You Be Doing

Data Analytics & RCA

• Perform day-to-day analytics on large datasets to uncover trends, patterns, and actionable insights.
• Conduct deep root cause analyses using statistical methods, hypothesis testing, and time-series/comparative techniques.
• Build automated data pipelines and workflows using SQL and Python.
  
  

• Design, develop, validate, and deploy statistical models and machine learning algorithms (classification, regression, forecasting, clustering).
• Build end-to-end data science solutions from problem definition to deployment and ongoing performance monitoring.
• Collaborate with engineering teams to productionize models and ensure robust tracking.
  
  

• Write optimized and scalable SQL queries for data extraction, transformation, and data quality processes.
• Develop reusable analytical frameworks, scripts, and tools in Python.
• Create clear, automated dashboards and reports to convey insights to stakeholders.
  
  

• Translate business problems into structured analytical approaches in partnership with product, marketing, operations, and leadership teams.
• Provide data-driven recommendations to support strategy, experimentation (A/B testing), and continuous optimization.
  
  

• Graduate from a reputed institute with 4–6 years of experience in analytics, data science, or consumer insights roles.
• Strong proficiency in Excel, SQL, and Python for data analysis.
• Experience using data analytics tools such as Adobe Analytics, Mixpanel, or Google Analytics.
• Demonstrated ability to work effectively in a collaborative, cross-functional environment.
• Strong problem-solving skills, attention to detail, and analytical rigor.
• Proven track record of delivering business impact through data-driven insights.
  
  

• Analytical Expertise: Strong command of analytical tools and techniques, with the ability to translate complex data into clear insights and recommendations.
• Adaptability & Innovation: Comfort with ambiguity and evolving business needs, along with a willingness to explore new methodologies, tools, and approaches.
• Business & Growth Mindset: Ability to connect analytical outcomes with business objectives, influence decision-making, and unlock growth opportunities.
• Communication & Stakeholder Management: Effective communication skills with the ability to simplify complex concepts and build trusted partnerships across cross-functional teams and senior leadership.