Data Analyst – Digital Workplace

Overview

The Data Analyst – Digital Workplace will design, develop, deploy and support scalable data, machine learning, artificial intelligence and automation solutions within Skywise / Palantir Foundry, cloud platforms and ServiceNow. The role transforms operational data into predictive insights, automated enterprise solutions and tools that support business decision-making across Airbus divisions and functions.

What you'll do

• Design, build, evaluate and deploy production-grade machine learning models and statistical solutions in Skywise / Foundry and cloud platforms.
• Develop, test, document and deploy data pipelines, analytical models and visualization tools for strategic and operational initiatives.
• Work with Product Owners and Airbus business functions to capture requirements, understand business processes and deliver data-driven solutions.
• Manage application delivery from design and implementation through testing, deployment and support.
• Build and maintain pipelines for automated deployments across Development, QA and Production environments.
• Troubleshoot application issues, manage incidents and requests, and provide ongoing support for developed tools.
• Enable self-service analytics and promote data literacy among business teams, internal customers and stakeholders.
• Define, implement and maintain KPI reports, dashboards and Performance Analytics reporting.
• Automate reporting processes and improve the organization’s approach to data management.
• Acquire data from various sources, maintain data systems and automate data collection processes.
• Ensure compliance with data quality, security, governance, privacy and ethical AI practices.
• Build behavioral engines to identify operational leakages, ghost assets, hardware failures, supplier CMDB update lag and usage anomalies.
• Design intelligent workflows, self-healing data scripts and RAG-driven knowledge tools for domain-specific tasks and IT Service Management processes.
• Feature-engineer unstructured datasets from ServiceNow, telemetry and enterprise systems into data pipelines across Dev, QA and Production environments.
• Track model inference costs and API spend.
• Coach internal business users toward self-sufficiency in analytics.
• Research and document new and improved features on existing tools.
• Stay current on analytics trends and emerging technologies and recommend new ways to use tools for business needs.
• Provide guidance and inputs for the Airbus Digital Workplace strategic roadmap.

What you'll need

• Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
• 4 to 7 years of hands-on experience building, deploying and scaling end-to-end data pipelines, predictive models, machine learning solutions and software automation systems.
• At least one recognized cloud or AI certification, such as Google Cloud Professional Machine Learning Engineer, AWS Certified AI/ML Specialist, or equivalent credentials.
• Proven track record using Skywise / Palantir Foundry, AWS/GCP cloud platforms and ServiceNow operational environments.
• Proven track record developing and maintaining large-scale data applications on Foundry.
• Proficiency in Ontology Manager, Code Authoring, Contour, Workshop and Data Ingestion modules.
• Experience in ETL scripting for data transformation.
• Advanced proficiency in Python, SQL, React, JavaScript and CSS.
• Strong understanding of REST APIs and Big Data architectures.
• Advanced analytical expertise in data modeling, database management and expert-level SQL.
• Experience with BI tools, Google Data Studio and BigQuery.
• Proficiency in data acquisition, automation and maintaining data systems from multiple sources.
• Ability to identify valuable data sources and optimize data collection processes.
• Strong analytical mindset with exceptional attention to detail and accuracy.
• Ability to help transform organizational reporting processes through automation and optimization.
• Mastery of Python, including Pandas, NumPy, Scikit-learn and PyTorch/TensorFlow.
• Deep proficiency in Skywise / Palantir Foundry, including Ontology, Workshop and Contour.
• Proficiency in Google Cloud Platform, including Vertex AI, BigQuery and Cloud Run, or AWS, including SageMaker, Bedrock and Lambda.
• Experience with RAG architectures, vector databases, LLM frameworks and core machine learning algorithms including Regression, Classification and Time-Series Forecasting.
• Hands-on experience with REST APIs, Docker, Kubernetes, CI/CD pipelines and automated model deployment and monitoring workflows.
• Proficiency in Qliksense, Looker Studio, Workshop or Performance Analytics dashboards.
• Ability to translate complex business problems into viable AI use cases with tangible ROI and operational impact.
• Exceptional skills explaining complex machine learning models, statistical findings and predictions to non-technical business leaders.
• Ability to work effectively with Product Owners, Agile delivery teams, L1/L2 support units and European leadership.
• Fluency in English is mandatory.

Nice to have

• Familiarity with Digital Employee Experience metrics and telemetry tools, including Workblaze / Nexthink.
• Exposure to source-to-source code parsing, AST analysis or automated design document generation utilities.
• Experience with ITIL frameworks, SAFe / Agile Scrum delivery methodologies or ServiceNow portal development.
• Fluency or working proficiency in French or German in addition to mandatory English fluency.
• Working experience in Agile Scrum, SAFe and/or Kanban projects.

Details

• Location: Bangalore Area.
• Employment type: Permanent.
• The role supports Airbus divisions and functions across Europe and globally.