Senior Business Analyst
- Posted 24 days ago
- Over 50 applicants have applied
Job Description
Experience - 3 to 5 yrs
Key Responsibilities
Technical & Domain Skills Required
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
- Modern Product Analytics : 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., 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
- 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
- Revenue & Pricing Optimization: Analyze demand-supply gaps, inventory utilization patterns, and dynamic 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.
More Info
Key Skills
About Company
Skills:
Numpy, Pandas, Power Bi, Data Visualization, Tableau, Python, Sql, AWS, Synapse, Scikit-learn, Azure Fabric
Skills:
Power Bi, Data Governance, Sql, OneLake, Lakehouse, Fabric Warehouses, Azure Data Platform, Dataflows Gen2, data quality management, master data management, Microsoft Fabric
Skills:
Power Bi, Power Automate, Data Modeling, Data Warehousing, Power Query, Sql, Dimensional Modeling, Vba, Data Cleansing, Dax, Python, Semantic models, AI and generative AI, Data-quality validation, Power BI Service, ETL processes, Star schemas
Skills:
Power Bi, Tableau, Excel, Data Analytics, Sql, Salesforce, Clari, CRM
Skills:
user requirements , Power Bi, Wireframes, Jira, Sql Queries, Coding, Agile, Use cases, Excel, Sprint organization and planning, Process flows, onenote, Microsoft Suite of Products, Modeling, Teams, Replicon, Process Design