Senior Officer Operations Data and Analytics
Key Skills for This Role
Full Job Posting
Operational Data Quality Management
Lead reconciliation and validation of monthly aeronautical billing datasets.
Identify, analyze, and report on operational performance metrics such as: On-Time Performance (OTP) Stand utilization GPU/PCA connectivity Passenger processing Baggage performance
On-Time Performance (OTP)
Stand utilization
GPU/PCA connectivity
Passenger processing
Baggage performance
Serve as the Subject Matter Expert (SME) for operational data and performance measurement.
Provide technical support and guidance on complex data-related issues.
Develop and maintain data repositories, data dictionaries, and source mappings.
Document AODB data flows and system integrations.
Ensure operational datasets are accurate, complete, and fit for purpose.
Continuously improve reports, dashboards, data models, and processes.
Identify opportunities to automate manual workflows.
Operations Data & Analytics Governance
Design and implement automated data quality monitoring and anomaly detection solutions.
Develop analytics solutions using Databricks and SQL frameworks.
Maintain operational databases and Databricks environments.
Ensure data integrity, security, and access controls are maintained.
Design and optimize database schemas and data structures.
Promote metadata management, data cataloging, indexing, and data lineage tracking.
Operations Reporting, Analytics & Tools
Analyze operational data and convert findings into actionable management insights.
Develop and deliver high-quality reports and dashboards.
Respond to stakeholder data requests within agreed service levels.
Build new analytical capabilities, including: AI-assisted analytics Predictive models Automation solutions
AI-assisted analytics
Predictive models
Automation solutions
Conduct complex analysis using data from: AODB FIDS BHS Resource planning systems Third-party operational systems
AODB
FIDS
BHS
Resource planning systems
Third-party operational systems
Monitor KPIs, identify trends, and recommend performance improvements.
General Responsibilities
- Demonstrate Abu Dhabi Airports values and behaviours.
- Support Abu Dhabi International Airport (AUH) operations and terminal transition initiatives.
- Comply with all HSE policies, procedures, and guidelines.
- Report hazards, unsafe conditions, and non-conformities.
- Participate in mandatory HSE training.
- Support environmentally responsible and safe work practices.
- Undertake additional duties as required by business needs.
Education
Bachelor's Degree in: Computer Science Data Analytics Information Systems Statistics Mathematics Engineering Or another relevant numerical discipline
Computer Science
Data Analytics
Information Systems
Statistics
Mathematics
Engineering
Or another relevant numerical discipline
Experience
4-5 years of experience in a data analytics or reporting role.
Preferably within aviation or a complex operational environment.
Proven experience delivering analytical projects independently.
Experience integrating and analyzing large datasets from multiple systems.
Hands-on experience with: Power BI SQL Databricks and/or Python
Power BI
SQL
Databricks and/or Python
Core Competencies
Strong problem-solving skills.
High attention to detail.
Ability to work effectively under pressure.
Strong decision-making and documentation skills.
Excellent stakeholder management and communication skills.
Ability to work with diverse teams and personalities.
Strong analytical and critical-thinking capability.
Strong presentation and data storytelling skills.
Technical Skills
- Advanced Power BI development: DAX Data modelling Row-level security Deployment pipelines
- DAX
- Data modelling
- Row-level security
- Deployment pipelines
- SQL query development and optimization.
- Databricks notebook development.
- Data pipeline and ETL design.
- Data visualization and dashboard design.
- Operational reporting and performance analytics.
- Understanding of aviation data and regulations.
- Process mapping and documentation experience.
- Strong statistical and quantitative analysis skills.
- Working knowledge of Python or R (preferred).
- Familiarity with AI/ML concepts, including: Anomaly detection Predictive analytics Performance modelling
- Anomaly detection
- Predictive analytics
- Performance modelling
Preferred Industry Knowledge
Airport Operations
Aviation Data Systems
AODB (Airport Operational Database)
FIDS (Flight Information Display Systems)
Baggage Handling Systems (BHS)
Operational Performance Management and KPI reporting.
About Abu Dhabi Airports
State-owned UAE airport operator serving passengers and airlines through five commercial airports in Abu Dhabi.
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