About the role
The air cargo industry is entering an accelerated phase of change and transformation. From digitalising the end-to-end value chain, to fortifying a true e-commerce experience, to the launch of digital freight marketplaces, and much more. As the world’s largest global air cargo carrier, Qatar Airways Cargo is leading this change.
To support our vision, we are looking for talent – the bold, the imaginative and the change-makers. All of whom will support Qatar Airways Cargo’s position as a true leader in the air freight industry. If you want to make an impact, to grow your experience and to challenge your comfort zone, then join us at Qatar Airways Cargo and be part of our passionate team.
As the business expands, we are pleased to announce an exciting opportunity to join our Doha-based Qatar Airways Cargo Customer Experience team as a Lead Cargo Business Intelligence and Analytics Officer.
In this role, you will develop data models through analytical data processing and guide business leadership to specific decision making. Lead the team into providing solutions for internal stakeholder requirements and ensuring the MIS databases are refreshed and maintained on a timely and accurate manner. Guide internal departments in effective use of data through familiarization.
As part of your daily responsibilities, you will also:
- Enhance reporting and business insights by developing a "best-in-class" reporting function that delivers timely, meaningful business performance tools which drives measurable business value.
- Guide the business intelligence Officers and Analysts to develop and enhance the set of required standard reports for Cargo Management; (daily, weekly and monthly reports) by using/upgrading existing and supporting the development of new systems and processes.
- Develop logical and conceptual data flows to support major departmental project requirements within the Cargo Department and Qatar Airways, ensure all relevant KPl's for the Cargo Division within Qatar Airways are available on a timely basis.
- Share observations and recommendations with the Line Manager and the internal stakeholders to support their decision making based on the models and reports developed within the team.
- Manage the Cargo's repository of data (Data library (SharePoint) / Data Warehouse) effectively and ensure that high quality standards are maintained at all times.
Qualifications
About You
We are looking for a professional with the following skills and experience:
- High School Diploma or Equivalent with Minimum 5 years of job-related experience OR Bachelor’s Degree with Minimum 4 years of job-related experience
- Experience in both Cargo and Business Intelligence.
- Good Data Analysis skills for investigating data issues in reports and dashboards to identify root causes and provide solutions.
- Certification in advanced analytics (R, SAS, SPSS).
- Hands-on experience with Business Intelligence tools, such as PowerBl, Tableau, Qlikview.
- Strong ability to think through optimal data structures for intended business purposes.
- Ability to use consultative approach and persuasive communication with stakeholders.
- Proficiency in SQL is a bonus.
Application Guidelines
Employees must submit applications through internal vacancies portal (via GEMS) only.
Please see below for all eligibility and requirements for internal applications and please note that any applications not meeting the criteria will not be processed.
- All internal candidates can only have three active applications at any point in time.
- All internal candidates must have completed a minimum 10 months in their current role in order to apply for a new role
- All internal candidates with an active final warning letter will be automatically disqualified from the recruitment process
- If you are a Deck Crew (Qatar Airways & Qatar Executive) or Qatar Executive Cabin Crew candidate, you would require a NOC to apply for this role.
For clarification or if you experience any problems while uploading your documents, please contact your Admin or HRBS / Recruitment Team for assistance.
