Assistant Manager, Data Quality & Analytics

International Air Transport Association (IATA); Montreal (administrative region); Hybrid; CAD 75,000 - 110,000; Full time

Benefits offered by this job

Flexible work options (remote & hybrid

Work from abroad policy

Birthday off

Equal pay policy

Job summary

International Air Transport Association (IATA) is seeking an Assistant Manager – Data Quality & Analytics to support the Turbulence Aware NextGen migration. You will contribute to data quality governance, validation, and analytics, collaborating with cross-functional teams to deliver reliable data and insights.

The role focuses on applying statistical profiling, anomaly detection, and data validation to ensure quality, latency, and traceability across the platform, with opportunities to

Qualifications

• 3–5 years’ experience in data science, analytics or data validation.
• Strong analytical background with ability to assess structured datasets.
• Working knowledge of SQL and Python for data analysis, data profiling, validation, reconciliation, and basic automation.
• Familiarity with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms.

Responsibilities

• Data quality governance, assurance and control; define standards and KPIs for TA NextGen.
• Design and validate the Data Quality Control Module and related dashboards.
• Apply data science techniques to monitor data quality and automate checks.
• Prepare analysis, notebooks, and dashboards for stakeholders and post-migration validation.

Skills

Analytical thinking

Data analysis

Pattern detection

Tools

SQL

Python

Power BI

Job description

Why you will love working here

At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.

• Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives.
• With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
• Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies.
• We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
• We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!

Employment Type: Permanent

Why you will love working here

At IATA, we represent over 350 airlines worldwide, striving to make aviation safer, smarter, more sustainable, and inclusive.

• Our Values are not just words on a page - they are the energy behind everything we do: ONE IATA - We collaborate across teams, TRUSTED - We do the right thing, INNOVATIVE - We make tomorrow better, INCLUSIVE - We embrace diverse perspectives.
• With over 30,000 courses available, we believe in continuous learning and support your growth in an ever-changing industry.
• Diversity, equity, and inclusion are our priorities. We are certified by the Equal Salary Foundation, offering equal pay and family-friendly policies.
• We encourage community involvement through volunteering and strive to make tomorrow better for aviation and our communities. We offer time off so you can support causes important to you.
• We promote work-life balance with flexible work options, including remote and hybrid work, a generous 'work from abroad' policy, and you get your birthday off!

About The Team You Are Joining

The Assistant Manager – Data Quality & Analytics will support the Turbulence Aware NextGen platform migration by contributing to data quality governance and control, migration readiness, acceptance testing coordination, business analysis, and data science activities.

What Your Day Would Be Like

The role will support the Assistant Director, Turbulence Aware NextGen, in designing and validating the Data Quality Control Module of TA NextGen. The role will also help ensure that migration activities, comprehensive testing, data quality assurance, and new analytics features are delivered with accuracy, reliability, and full requirements traceability.

The role will apply analytical and data science techniques, including statistical profiling, anomaly detection, data validation, and Python-based analysis, to support the monitoring and continuous improvement of data quality across the platform.

Key Responsibilities

• Data Quality Governance, Assurance & Control Support the definition and documentation of data quality requirements, including applicable standards, validation rules, business rules, thresholds, and acceptance criteria, to help ensure the reliable and continuous operation of the Turbulence Aware NextGen platform. Support the Assistant Director in designing and validating the Data Quality Control Module of TA NextGen. Support the design of the Quality Control Module, including quality KPIs, dashboards, alerts, and data science-based controls for:
• Airline-provided EDR and ACARS data
• Third-party supplemental data
• Output datasets distributed to airline participants

Support issue resolution with airlines, developers, infrastructure teams, vendors, and internal stakeholders.

• Data Science Support for Data Quality Control Support the use of data science techniques to improve data quality assurance and control across the TA NextGen platform. Analyze historical and near-real-time datasets to identify patterns, gaps, inconsistencies, latency issues, and abnormal reporting behavior. Apply statistical profiling, trend analysis, anomaly detection, and data validation techniques to identify data quality issues and monitor data reliability with automated or semi-automated data quality checks using SQL, Python, or similar tools. Prepare analysis outputs, notebooks, reports, or dashboards to explain data quality findings to technical and non-technical stakeholders.
• Data Migration Preparation & Reconciliation Support pre-migration data profiling and baseline validation activities. Assist in developing reconciliation frameworks for legacy vs. new platform outputs. Use SQL, Python, or analytical tools to compare datasets, identify discrepancies, and support reconciliation evidence. Track and document discrepancies, resolution actions, and sign-off criteria. Support cutover readiness assessments and post-migration stabilization reviews.
• Support for Turbulence Aware Platform Migration and New Feature Delivery Support the development and validation of new revenue-generating features. Assist in defining acceptance criteria and validation metrics for nowcast, forecast, and warning products. Support testing activities by preparing, documenting, and maintaining test scripts, and help track test execution progress. Help verify that deployed features meet defined quality, latency, and reliability standards. Assist in preparing documentation and dashboards for customers' onboarding and commercialization.
• Documentation & Governance

Maintain Comprehensive Documentation, Including

• Data dictionaries
• Validation rules
• Business rules
• Data science assumptions and analytical methods
• Test plans and scripts
• Reconciliation reports
• Analytics feature specifications
• Data quality dashboards and KPI definitions

We would love to hear from you if

• 3–5 years’ experience in one or more of the following areas:
• Data science or applied analytics
• Data validation and anomaly detection
• Data platform migration
• Business analysis in analytics-driven environments
• Strong analytical background with the ability to assess structured datasets, identify patterns, investigate anomalies, and interpret data quality KPIs.
• Working knowledge of SQL and Python for data analysis, data profiling, validation, reconciliation, and basic automation.
• Familiarity with data science techniques such as statistical analysis, outlier detection, trend analysis, anomaly detection, and data visualization.
• Demonstrated basic knowledge of aviation operations and associated data domains, or strong interest and ability to quickly learn complex operational data domains.
• Familiarity with streaming data, cloud-based architectures, data pipelines, or near-real-time analytics is an asset.
• Familiarity with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms is an asset.

Travel Required: N

Learn more about IATA’s role in the industry, our benefits, and the team at iata/careers/ . We are looking forward to hearing from you!