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.

KEY ACCOUNTABILITIES & RESPONSIBILITIES:

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

analysis.

• Data Analysis: Using statistical techniques to analyse 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.

• Or Secondary School Certificate with 06+ years of aviation experience provided the individual holds a

specialised certificate / licence in the relevant discipline (applies to internal candidates only)

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 analyse 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