Data Analyst

Tata Technologies Ltd.; Toulouse; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Tata Technologies in Toulouse is seeking a Data Analyst with deep expertise in the Airbus digital ecosystem and Palantir Foundry. You will develop, optimize, and maintain data pipelines, models, and dashboards to enable data-driven decisions across engineering, manufacturing, operations and business teams.

The role requires strong SQL and Python skills, experience with Big Data platforms, and a collaborative approach to working with stakeholders while ensuring governance and security compliance.

Qualifications

• Degree in Computer Science, Data Science, IT, or related field.
• Strong knowledge of Palantir Foundry and related tools.
• Experience with SQL, Python, and data modeling.
• Experience with large datasets and data governance.

Responsabilités

• Analyze complex datasets to identify trends and opportunities.
• Design, develop, and maintain data products in Palantir Foundry.
• Build data pipelines, models, and workflows for quality data.
• Create dashboards and reporting tools for end users.
• Ensure data governance and security compliance.

Connaissances

Data analysis

SQL

Python

Stakeholder management

Cloud platforms

Formation

Bachelor's degree in Computer Science

Degree in Data Science

Outils

Palantir Foundry

Foundry Slate

Workshop

Git/GitHub

Description du poste

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth, we are now recruiting for a Data Analyst to be based at our office/ our customer’s site in Toulouse

The Role:

We are seeking a highly skilled Data Analyst with strong expertise in the Airbus digital ecosystem and extensive experience working with Palantir Foundry. The successful candidate will support data-driven decision-making by developing, maintaining, and optimizing analytical solutions, data pipelines, and reporting capabilities across business functions.

This role requires a solid technical background, strong analytical skills, and the ability to collaborate with stakeholders across engineering, manufacturing, operations, and business teams.

Area of Responsibility:

• Analyze complex datasets to identify trends, insights, and business opportunities.
• Design, develop, and maintain data products and analytical solutions within Palantir Foundry.
• Build and configure solutions using Foundry Slate and Workshop to support operational and strategic initiatives.
• Develop and maintain data pipelines, data models, and workflows to ensure data quality and accessibility.
• Manage and support code repositories, version control processes, and deployment practices.
• Configure and maintain platform components in accordance with business and technical requirements.
• Collaborate with data engineers, business stakeholders, and subject matter experts to deliver scalable analytics solutions.
• Create dashboards, visualizations, and performance reporting tools for end users.
• Ensure compliance with data governance, security, and Airbus standards.
• Support continuous improvement initiatives through automation and advanced data analysis.

Knowledge / Experience:

• Degree in Computer Science, Data Science, Information Technology, Software Engineering, or a related discipline.
• Strong understanding of the Airbus environment, including business processes, data ecosystems, and operational workflows.
• Extensive hands-on experience with Palantir Foundry, specifically:
• Slate
• Workshop
• Strong knowledge of:
• Code repositories (Git, GitLab, GitHub, or similar)
• Version control methodologies
• Platform configuration and administration concepts
• Data integration and transformation processes
• Advanced analytical and problem-solving skills.
• Experience working with large and complex datasets.
• Proficiency in SQL and data analysis techniques.
• Strong stakeholder management and communication skills.
• Experience within the Aerospace and Defence industry.
• Knowledge of data engineering concepts and ETL development.
• Experience with Python, PySpark, or other programming languages used for analytics.
• Familiarity with cloud-based data platforms and modern data architectures.
• Understanding of data governance and information management principles.

If you are passionate about bringing innovation to the projects you work on and want to join a global company, then this is the place for you.

Tata Technologies: Engineering a better world.