Employment Type: Permanent
Contract Duration:
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
1. 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.
2. 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.
3. 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.
4. 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.
5. 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!
