Executive- Business Intelligence

Job Description

Title: Executive- Business Intelligence

Company Name: US-Bangla Airlines

Vacancy: --

Age: At most 28 years

Job Location: Dhaka

Salary: Tk. 30000 - 35000 (Monthly)

Experience:

• At least 1 years
• The applicants should have experience in the following business area(s): Airline, Group of Companies
• Freshers are also encouraged to apply.

• Bachelor of Science (BSc) in Applied Statistics and Data Science
• Bachelor of Science (BSc) in Data Science
• Bachelor of Science (BSc) in Computer Science & Engineering
• Bachelor of Science (BSc) in Applied Statistics

• At least 1 years
• The applicants should have experience in the following business area(s): Airline, Group of Companies
• Freshers are also encouraged to apply.

• Age At most 28 years

• Strong expertise in BI tools (Power BI, Tableau, Qlik, etc.), SQL, and data warehouse technologies.

• Knowledge of airline systems (PSS, GDS, DCS, Loyalty platforms)

• Excellent analytical, problem-solving, and presentation skills.

• Ability to work in cross-functional teams and communicate complex data in a business-friendly manner.

1. Data Management & Governance

• Collect, consolidate, and manage data from multiple airline systems (PSS, CRS, DCS, Loyalty, Operations, Finance, Sales).

• Ensure data quality, accuracy, and integrity through governance standards and compliance with aviation and data privacy regulations.

• Maintain and enhance the airline’s data warehouse, BI platforms, and reporting tools.

2. Reporting & Dashboard Development

• Design and deliver real-time dashboards and automated reports for management and business units.

• Track key airline KPIs such as passenger load factor, yields, revenue, OTP (on-time performance), and customer satisfaction.

• Provide ad-hoc reports and deep-dive analytics to support decision-making.

3. Commercial & Revenue Analysis

• Partner with Revenue Management and Sales teams to deliver demand forecasting, route profitability analysis, and pricing insights.

• Monitor channel performance (GDS, OTA, direct sales) to optimize distribution strategy.

• Track and analyze ancillary revenue streams to identify growth opportunities.

4. Customer & Loyalty Insights

• Analyze customer booking behaviors, travel patterns, and segmentation to support targeted marketing campaigns.

• Evaluate loyalty program KPIs such as enrollment, redemption, and member contribution to revenue.

• Develop predictive models for churn prevention and customer retention.

5. Operational & Performance Intelligence

• Monitor and analyze operational metrics such as aircraft utilization, turnaround efficiency, crew performance, and fuel consumption.

• Provide insights on irregular operations (delays, cancellations) and their financial and customer impact.

• Support network planning and fleet deployment strategies with data-backed recommendations.

6. Financial & Strategic Analytics

• Deliver profitability analysis at flight, route, and network levels.

• Provide scenario-based modeling for pricing strategies, route expansion, and seasonal planning.

• Track market and competitor trends to support strategic decision-making.

7. Advanced Analytics & Innovation

• Develop predictive and prescriptive models using machine learning for demand forecasting, no-show prediction, and dynamic pricing.

• Identify automation opportunities in reporting and analytics processes.

• Promote a data-driven culture across the organization by enabling self-service analytics and training business users.

8. Cross-Functional Collaboration

• Act as a strategic partner to Commercial, Finance, Operations, Marketing, and HR teams.

• Present insights and recommendations to senior leadership for critical decision-making.

• Foster cross-departmental alignment on KPIs and performance measurement.