Safety Specialist (Business Intelligence)
Qatar Airways is hiring a Safety Specialist (Business Intelligence) in Doha, Qatar. Level rates it ; you can apply on Qatar Airways.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 194 other open roles at Qatar Airways.
- The role was posted in the last few days.
AI in this role
Description
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Safety (Technical) team as a Safety and BI Specialist to be based in Doha, Qatar.
The role is responsible for managing safety occurrence reporting, data analytics, business intelligence, and digital transformation initiatives within Safety, Risk & Security. The position ensures the timely processing, classification, analysis, and reporting of safety occurrences while developing data-driven solutions that support proactive hazard identification, risk management, regulatory compliance, and safety performance monitoring. The role serves as a focal point for transforming safety data into actionable insights through advanced analytics, automation, and visualization tools.
Specific responsibilities for the role includes:
- Manage and process safety occurrence reports, ensuring accurate classification, risk assessment, data quality, and timely assignment to relevant stakeholders.
- Ensure timely reporting of Mandatory Occurrence Reports (MORs) to Qatar CAA/external CAAs within 72 hours
- Develop, maintain, and enhance interactive dashboards, scorecards, and reports using Business Intelligence tools such as Power BI, Qlik Sense, and other analytics platforms.
- Design and maintain data models, datasets, data pipelines, and automated data integration processes to support safety, risk, security, and compliance reporting.
- Perform data analysis, trend monitoring, and SPI/KPI reporting to identify emerging risks, operational issues, and opportunities for safety performance improvement.
- Develop and automate recurring reports, alerts, and workflows using BI, AI, and automation tools to improve efficiency and reduce manual effort.
- Utilize Artificial Intelligence, Machine Learning, and AI tools to support predictive analysis, anomaly detection, data classification, and insight generation.
- Develop and maintain Python scripts and SQL queries for data extraction, transformation, validation, automation, and advanced analytics.
- Support safety investigations and management decision-making by providing timely analytical insights, statistical reports, visualizations, and trend analyses.
- Collaborate with Safety, Risk, Security, Operational Departments, and IT teams to gather business requirements and deliver data-driven solutions that support organizational objectives.
- Identify opportunities for continuous improvement and digital transformation by implementing innovative BI, AI, and automation solutions that enhance safety reporting, risk management, and operational performance.
- Produce statistical reports as required by the VP Safety or by Senior Manager Flight Safety or Occurrence Data Manager.
Be part of an extraordinary story
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.
Together, everything is possible.
Qualification
About you
The successful candidate will have the following skills and qualifications:
- Bachelor's Degree with a minimum of 4 years' relevant experience, or equivalent qualification with a minimum of 5 years' experience.
Flight Engineer, Aviation Engineer, Grounded Flight Crew (medical) Commercial Pilot License holder, Aviation Graduate, Aviation diploma course, - Cabin Crew with appropriate knowledge and experience in safety
- Experience in Airline operations as Flight Crew or experience as an engineer with a safety background including analysis of occurrence data and flight data.
- Have experience in business intelligence (Power BI or QlikView or Qliksense experience) and in Excel Macro.
- Should be computer and database Literate. Prior experience in use of AQD, Airfase, Aerobyte, Q-Pulse and other similar safety tools will be useful.
- Must have working knowledge of aviation and aircraft systems.
- Should be familiar with legislation (ICAO, EASA Regulations or FAR and Ops Manuals) and international safety bodies such as IATA, Flight Safety Foundation.
About Qatar Airways Group
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So, whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.
How to apply
If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.
How we rate this
Safety Specialist (Business Intelligence) at Qatar Airways rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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