Senior Business Information Analyst in Bengaluru, India

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
Experience tracking user behavior via Google Analytics, Google Tag Manager, or clickstream events is highly preferred.

Root-Cause Analysis (RCA): Lead complex RCAs on volatile business shifts (e.g., Apply cohort analysis, funnel tracking, and statistical forecasting techniques to predict peak seasonal travel demand
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 modern data orchestrators
Data Quality Assurance: Maintain ownership over data modeling, transformation structures, SQL views, and procedures to guarantee data validity.

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:
Analyze demand-supply gaps, inventory utilization patterns, and dynamic pricing effectiveness across routes and geographies
Campaign & Loyalty Analysis: Partner with marketing teams to design, track, and optimize customer rewards and sales promotion campaigns.

Experience Level - 3 to 5 Years