Assistant Manager, Data Quality & Analytics

Supports IATA's Turbulence Aware NextGen migration by strengthening data-quality governance, controls and analytics across the platform. The assistant manager applies data science to validation and anomaly detection, coordinates testing and reconciliation, and develops documentation and dashboards that help airline participants, technical teams and customers rely on accurate, timely aviation data.

• Define and document data-quality requirements, validation rules, business rules and acceptance criteria
• Design and validate the Data Quality Control Module for Turbulence Aware NextGen
• Develop quality KPIs, dashboards, alerts and data-science controls for airline and third-party data
• Analyse historical and near-real-time datasets for patterns, gaps, latency and abnormal reporting
• Apply profiling, trend analysis, anomaly detection and validation checks using SQL and Python
• Develop reconciliation frameworks and evidence for legacy and new platform outputs
• Prepare test scripts, documentation and dashboards for feature delivery and customer onboarding

• Three to five years of experience in data science, applied analytics, data validation, anomaly detection, data-platform migration or business analysis
• Strong analytical ability to assess structured datasets, identify patterns, investigate anomalies and interpret data-quality KPIs
• Working knowledge of SQL and Python for analysis, profiling, validation, reconciliation and basic automation
• Knowledge of aviation operations and associated data domains, or ability to learn complex operational data domains

• Familiarity with streaming data, cloud-based architectures, data pipelines or near-real-time analytics
• Familiarity with Power BI, Tableau, Looker or similar BI and visualisation tools

• Data Quality Governance
• Data Validation
• Data Analysis
• SQL
• Python
• Anomaly Detection
• Data Migration

• SQL
• Python

• No fixed closing date was published; the displayed deadline is an operational lifecycle estimate