Airbus

1 month ago

Engineer - Methods & Tools (Data Analyst)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join Airbus' Methods & Tools team as a PLM Data Analyst to curate, analyze, and transform PLM data (e.g., BOMs, change management) to drive business insights. Build data products and dashboards in Palantir Foundry, integrate data with ERP/MES systems, and collaborate with Engineering and IT to improve data quality and streamline workflows for core engineering processes.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Data Analysis & Reporting: Query and analyze complex PLM datasets related to product structures, BOMs, change and release management, and quality metrics.
•Dashboard Development: Design, build, and maintain interactive dashboards and reports in Palantir Foundry (Contour, Workshop, Quiver) and other analytics tools.
•Data Integration and Curation: Assist in data ingestion, cleansing, and transformation within Foundry, linking PLM data with other business systems (e.g., ERP, MES).
•Process Improvement: Identify data quality issues, data gaps, and process bottlenecks within the product lifecycle.
•Collaboration: Work closely with Engineering and IT teams to understand their data requirements and provide analytical support.

Key Requirements

•6+ years experience as a Data Analyst, preferably in an engineering, or Product Lifecycle Management (PLM) focused environment.
•Data Engineering Skills: Proven experience in building and maintaining data pipelines, data models, and ETL/ELT processes.
•Palantir Foundry Experience: Hands-on experience developing data pipelines and analytics in Foundry. Proficiency with Pipeline Builder, Code Workbooks (Python/SQL), and Contour/Workshop/Quiver is essential.
•SQL Proficiency: Strong command of SQL for complex queries, joins, and data manipulation.
•Data Modeling: Strong understanding of data modeling principles and the ability to apply them to create logical and physical data models for PLM data.

Experience:6+ yearsEngineeringPLMData analytics

Education:Professional (JD, MD, etc.)

Skills:CommunicationProblem-solvingAnalytical thinking

Tech Stack:Palantir FoundryContourWorkshopQuiverPythonSQLERPMES

Company Brief

Airbus

Designs, manufactures, and sells commercial aircraft, helicopters, defense and space systems, and related services worldwide. Airbus is a leading aerospace and defense company delivering integrated solutions for civil and military aviation customers.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Toulouse, France

Founded: 1970

Website LinkedIn

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Airbus

1 month ago

Engineer - Methods & Tools (Data Analyst)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Data Analysis & Reporting: Query and analyze complex PLM datasets related to product structures, BOMs, change and release management, and quality metrics.
•Dashboard Development: Design, build, and maintain interactive dashboards and reports in Palantir Foundry (Contour, Workshop, Quiver) and other analytics tools.
•Data Integration and Curation: Assist in data ingestion, cleansing, and transformation within Foundry, linking PLM data with other business systems (e.g., ERP, MES).
•Process Improvement: Identify data quality issues, data gaps, and process bottlenecks within the product lifecycle.
•Collaboration: Work closely with Engineering and IT teams to understand their data requirements and provide analytical support.

Key Requirements

•6+ years experience as a Data Analyst, preferably in an engineering, or Product Lifecycle Management (PLM) focused environment.
•Data Engineering Skills: Proven experience in building and maintaining data pipelines, data models, and ETL/ELT processes.
•Palantir Foundry Experience: Hands-on experience developing data pipelines and analytics in Foundry. Proficiency with Pipeline Builder, Code Workbooks (Python/SQL), and Contour/Workshop/Quiver is essential.
•SQL Proficiency: Strong command of SQL for complex queries, joins, and data manipulation.
•Data Modeling: Strong understanding of data modeling principles and the ability to apply them to create logical and physical data models for PLM data.

Experience:6+ yearsEngineeringPLMData analytics

Education:Professional (JD, MD, etc.)

Skills:CommunicationProblem-solvingAnalytical thinking

Tech Stack:Palantir FoundryContourWorkshopQuiverPythonSQLERPMES

Company Brief

Airbus

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Toulouse, France

Founded: 1970

Website LinkedIn