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04/08/2025 Business Analyst

4 weeks ago

Bengaluru, Karnataka, India Cleartrip Full time
As an Analyst in the Air Category Team, you will play a critical role in monitoring and formulating the pricing on Cleartrip platform , analyzing the data, benchmarking against the key competition, drive data-driven optimizations and insights on day to day basis and work closely with multiple stakeholders across Bizfin, Category and Supplier relations team

Key Responsibilities:

- Support business decisions by - formulating hypothesis, structuring the problem, analyze relevant data to verify hypothesis and prepare documentation to communicate the results with insights
- Monitor key business, product and tech metrics such as Airline mix , Segment/ Booking Volumes, Net Revenue, Revenue per Segment ( RPS ), Marketing/ Discounts per Segment across various parameters & take/recommend corrective actions
- Product: Monitor trends in consumer behavior of VAS( Insurance , Seat , meal baggage ) across stages of the product funnel, prepare and document analysis and insights
- Operations: Own the offers creation, monitoring and merchandising along with competition insights end-to-end and back the end-results with data backed analyses
- Automation: Create various dashboards, alerts and datasets to visualize, and drive actionable insights quickly
- Reporting: Performance reporting to internal and external stakeholders

To succeed in this role – you should have the following

○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute.

○1-3 Years of experience in relevant role

○ Ability to translate structured and unstructured problems into analytical framework

○ Ability to experiment with alternate analytical techniques to solve a problem

○ Exceptional written and verbal communication skills

Technical capabilities:

○ SQL, Excel, other scripting languages (R, Python, etc.)

○ Basic understanding of statistical modelling and statistical tools such as R, Python, Spark, SAS or SPSS.

○ Good to have: working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc)