Assistant Manager, Data Quality & Analytics

IATA Consulting; Montreal (administrative region); Hybrid; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Remote work

Hybrid work

Work from abroad

Birthday off

Job summary

IATA Consulting is seeking a data quality and analytics professional to support Turbulence Aware NextGen platform migration. You will contribute to data quality governance, validation, and analytics-driven improvements across the data platform.

You will apply SQL and Python for data profiling, validation, and reconciliation, collaborate with cross-functional teams, and help deliver reliable, scalable analytics features for customers.

Qualifications

• 3–5 years’ experience in data science, analytics, or related fields.
• Experience with data validation and anomaly detection.
• Experience with data platform migration and reconciliation.
• Business analysis in analytics-driven environments.
• Strong SQL and Python skills for data analysis and automation.
• Familiarity with BI/visualization tools such as Power BI, Tableau, Looker is an asset.

Responsibilities

• Support data quality governance, validation rules, and KPI definitions.
• Apply data science techniques to monitor data quality and reliability.
• Develop reconciliation frameworks for legacy vs new platform outputs.
• Assist in migration prep, test scripts, and validation metrics for TA NextGen.
• Prepare documentation and dashboards for customers’ onboarding and commercialization.

Skills

Data science

Analytics

Data validation

Anomaly detection

SQL

Python

Aviation data domain

BI visualization tools

Tools

Power BI

Tableau

Looker

Job description

Employment Type:Permanent
Contract Duration:

Why you will love working here

• 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

Therole will support the Assistant Director, Turbulence Aware NextGen, indesigning and validating the Data Quality Control Module of TA NextGen. Therole 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. Therole will apply analytical and data science techniques, including statisticalprofiling, anomaly detection, data validation, and Python-based analysis, tosupport the monitoring and continuous improvement of data quality across theplatform.

Key Responsibilities

1. Data Quality Governance, Assurance & Control

Support thedefinition and documentation of data quality requirements, includingapplicable standards, validation rules, business rules, thresholds, andacceptance criteria, to help ensure the reliable and continuous operationof the Turbulence Aware NextGen platform. Support the AssistantDirector in designing and validating the Data Quality Control Module of TANextGen. Support the design ofthe Quality Control Module, including quality KPIs, dashboards, alerts,and data science-based controls for: Airline-provided EDR and ACARS data - Third-partysupplemental data - Output datasetsdistributed to airline participants Support issueresolution with airlines, developers, infrastructure teams, vendors, andinternal stakeholders.

2. Data Science Support for Data Quality Control

Support the use ofdata science techniques to improve data quality assurance and controlacross the TA NextGen platform. Analyze historicaland near-real-time datasets to identify patterns, gaps, inconsistencies,latency issues, and abnormal reporting behavior. Apply statisticalprofiling, trend analysis, anomaly detection, and data validationtechniques to identify data quality issues and monitor data reliabilitywith automated or semi-automated data quality checks using SQL, Python, orsimilar tools. Prepare analysisoutputs, notebooks, reports, or dashboards to explain data qualityfindings to technical and non-technical stakeholders.

3. Data Migration Preparation & Reconciliation

Support pre-migrationdata profiling and baseline validation activities. Assist indeveloping 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 documentdiscrepancies, resolution actions, and sign-off criteria. Support cutoverreadiness assessments and post-migration stabilization reviews.

4. Support for Turbulence Aware Platform Migration andNew Feature Delivery

Support thedevelopment and validation of new revenue-generating features. Assist in definingacceptance criteria and validation metrics for nowcast, forecast, andwarning products. Support testingactivities by preparing, documenting, and maintaining test scripts, andhelp track test execution progress. Help verify thatdeployed features meet defined quality, latency, and reliabilitystandards. Assist in preparingdocumentation and dashboards for customers' onboarding andcommercialization.

5. Documentation & Governance

• Data dictionaries
• Validation rules
• Business rules
• Data scienceassumptions and analytical methods
• Test plans andscripts
• Reconciliationreports
• Analytics featurespecifications
• Data qualitydashboards and KPI definitions

We would love to hear from you if

3–5 years’ experiencein one or more of the following areas:
Data science orapplied analytics
Data validation andanomaly detection
Data platformmigration
Business analysis inanalytics-driven environments
Strong analyticalbackground with the ability to assess structured datasets, identifypatterns, investigate anomalies, and interpret data quality KPIs.
Working knowledge ofSQL and Python for data analysis, data profiling, validation,reconciliation, and basic automation.
Familiarity with datascience techniques such as statistical analysis, outlier detection, trendanalysis, anomaly detection, and data visualization.
Demonstrated basicknowledge of aviation operations and associated data domains, or stronginterest and ability to quickly learn complex operational data domains.
Familiarity withstreaming data, cloud-based architectures, data pipelines, ornear-real-time analytics is an asset.
Familiarity with BIand visualization tools such as Power BI, Tableau, Looker, or similarplatforms is an asset.

Travel Required: N