Experience - 3 to 5 yrs

Key Responsibilities

Technical &
Domain Skills Required
Advanced SQL &
T-SQL : Expert-level database query optimization, view creation, and deep structured analytical querying
Advanced Programming : Hands-on capability in Python for exploratory data analysis (EDA), hypothesis testing, and implementing fundamental Machine Learning (ML) models
Microsoft BI Stack : Solid foundation across SSIS, SSAS, and SSRS ecosystems
Contemporary Product Analytics : Experience tracking user behavior via Google Analytics, Google Tag Manager, or clickstream events is highly preferred.
Advanced

Analytics, Modeling &
RCA
Root-Cause Analysis (RCA): Lead complex RCAs on volatile business shifts (e.g., sudden booking drops or cancellation spikes) and deliver quick-turnaround strategic interventions
Rule Based Frameworks: Apply cohort analysis, funnel tracking, and statistical forecasting techniques to predict peak seasonal travel demand
Advanced Decision Models: Build heuristic and predictive data models to unlock alternative ancillary revenue streams and operational efficiencies
BI Engineering &
Data Architecture Management
Data Visualization Integration:



Oversee the construction of enterprise-level Power BI dashboards utilizing complex DAX logic and Power Query to surface executive-level insights
ETL Pipeline Governance: Supervise the development and continuous execution of data pipelines using SSIS, SSAS, or up-to-date data orchestrators
Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity.
Team Leadership &
Stakeholder Management
Team Mentorship : Lead, mentor, and define performance benchmarks for a high-performing team of data analysts.
Cross-Functional Collaboration : Act as the primary consultant for Product Managers, Business Development heads, and Engineering teams to transform raw analytics into real feature deployments
Strategic Business

Drive &
Domain Analytics
Revenue &
Pricing Optimization: Analyze demand-supply gaps, inventory utilization patterns, and energetic pricing effectiveness across routes and geographies
Conversion &
Funnel Management: Deep-dive into customer checkout cohorts, shopping cart drop-offs, and cancellation bottlenecks to drive user retention
Campaign &
Loyalty Analysis: Partner with marketing teams to design, track, and optimize customer rewards and sales promotion campaigns.

📌 Senior Business Analyst Bengaluru (India)
🏢 MakeMyTrip
📍 India