Data Analyst - Revenue Management

Oman Air has built up a reputation as a strong, competitive leader in the airline industry. We are committed to recruiting and nurturing bright and dynamic individuals to meet our manpower needs. In the new millennium, our mission is to seek out new ways to develop and improve our position as a leader in aviation excellence.

We believe our people are the reason behind our success and we offer you a once in a lifetime opportunity to work in a team-based customer-oriented environment. Our emphasis is on continual staff development we achieve through the training we impart to our staff members.

Supports decision-making through data-driven insights and analysis. The role involves collecting, processing,

and analyzing data to optimize flight pricing, capacity, and profitability as well as creating reports. The

analyst contributes to performance monitoring and forecasting initiatives to support revenue optimization.

KEY ACCOUNTABILITIES & RESPONSIBILITIES:

• Data Collection and Preparation: Collecting data from various sources, cleaning and preparing it for analysis.

• Data Analysis: Using statistical techniques to analyze data, identify patterns, trends, and relationships.

• Data Visualization: Creating visual representations of data findings through charts, graphs, and

dashboards.

• Reporting: Preparing reports and presentations to communicate insights to stakeholders.

• Collaboration: Working with cross-functional teams to understand their data needs and help them make informed decisions.

• Performance Monitoring: Establishing and monitoring key performance indicators (KPIs) to measure the effectiveness of business decisions.

• Perform any other related tasks as assigned by the Management.

MINIMUM QUALIFICATIONS & EXPERIENCE:

• Bachelor's degree in any discipline.

• Or Diploma Degree with 2 years of related experience.

PROFESSIONAL KNOWLEDGE, CERTIFICATION OR MEMBERSHIPs:

• Data Collection and Preparation: Collecting data from various sources, cleaning and preparing it for analysis.

• Data Analysis: Using statistical techniques to analyze data, identify patterns, trends, and relationships.

• Data Visualization: Creating visual representations of data findings through charts, graphs, and

dashboards

• Reporting: Preparing reports and presentations to communicate insights to stakeholders.

• Collaboration: Working with cross-functional teams to understand their data needs and help them make informed decisions.

• Performance Monitoring: Establishing and monitoring key performance indicators (KPIs) to measure the effectiveness of business decisions.

SKILLS & COMPETENCIES:

Core Competencies

• Revenue Management system RMS

• Communication and Storytelling

• Attention to detail and time management

Technical Competences

• Data Extraction and Querying

• Data visualization

• Data analysis and statistical programming