招聘
必备技能
Python
SQL
Tableau
Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at USCareers@airbus.com
- Notice: Know Your Rights: Workplace Discrimination is Illegal
- Notice: Pay Transparency Nondiscrimination (English)
- Aviso: Transparencia en el Pago No Discriminación (Spanish)
Job Description:
Airbus Commercial is looking for a **HR Data Analyst (Contract)**to join our team in Herndon, Virginia.
As a Data Analyst at Airbus, you will collaborate with stakeholders, design methodologies to solve problems and use advanced analytics and algorithms in the context of business needs. You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. You won’t simply present data, but tell data-driven stories. We are looking for a versatile individual with a keen attention to detail and a problem-solving attitude to join us in our journey to transform the future of HR at Airbus.
Meet the Team:
Working in our Human Resources department, it’s our mission to help support Airbus’ greatest assets: our team members. Our team works cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.
Your Working Environment:
The Washington, D.C. metro area is home to multiple Airbus offices: In our nation’s capital you will find the Airbus Experience Center, a collection of interactive, multimedia exhibitions highlighting the extensive role the company plays in the aviation, aerospace and defense industries in the U.S. and around the world. The D.C. area is also home to our regional corporate headquarters – located adjacent to Washington Dulles International Airport (IAD) - it makes flying in a breeze!
Your Challenges:
Primary Responsibilities:
-
Assist in collecting, cleaning, and transforming data from various data sources.
-
Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.
-
Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
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Suggest improvements in the modeling techniques to and convince the team on new initiatives.
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Support in building data visualizations/dashboards to present data insights and recommendations.
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Utilize data analytics tools (e.g. Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks.
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Write and execute data queries using SQL, Python, or other data analysis programming languages.
-
Document data processes, findings, and solutions.
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Communicate data analysis results and recommendations to stakeholders.
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Collaborate with other data analysts and team members on data projects.
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Learn and apply new data technologies and best practices.
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Ability to work with semi-structured and unstructured data.
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Assembling large, complex sets of data that meet non-functional and functional business requirements.
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Develop, test, and deploy machine learning models.
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Performs business data analysis, identifying key facts and recommendations in accordance with Airbus business standards.
Qualified Experience / Skills / Training:
Education:
- Bachelor’s degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.
Your Boarding Pass:
Experience:
-
Minimum 3 years of experience with years in SQL and Python.
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Practical experience in a business environment applying analytical skills and tools (Tableau, SQL) to solve real-world problems.
Knowledge, Skills, Demonstrated Capabilities:
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Deep curiosity to learn about new applications and projects, self-driven, and analytical.
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Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.).
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Some experience or project coursework working with databases, data models, and data warehouse concepts.
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Attention to details with strong communication, presentation, and time management skills.
-
Some experience applying basic ML to a type of data and or used algorithms to conduct experiments on data.
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Some experience and or project course work performing data analysis and applying statistics working with tools such as: Python, MATLAB, R, Tableau, Alteryx, Excel, or SAS.
Certifications:
- Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification is a plus.
Travel:
- 10% Domestic.
Eligibility:
- Authorized to Work in the US.
Physical Requirements:
Candidate should be comfortable working for extended periods of time using computers and be able to travel independently.
This position is a temporary (contract) position with no specific time period but could be extended or shortened as needed. Contractors are employed by a 3rd party vendor and placed on assignment to Airbus in America.
Take your career to a new level and apply online now!
A full job description will be provided to candidates who progress to the interview stage or any candidate upon request.
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus Americas, Inc.
Employment Type:
Agency / Temporary
Experience Level:
Professional
Remote Type:
Flexible
Job Family:
Digital
Job Posting End Date: 04.03.2026
Airbus provides equal opportunities to all individuals seeking assignment with Airbus without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. In addition to federal law requirements, Airbus complies with applicable state and local laws governing nondiscrimination in every location in which the company has facilities. Airbus expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetics, pregnancy, marital status, veteran status or other legally protected status. This assignment description does not constitute a written or implied contract of employment.
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.
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关于Airbus

Airbus
PublicAirbus SE is a European aerospace corporation. While the company's primary business is the design and manufacture of commercial aircraft, it also operates separate divisions for Defence and Space and Helicopters.
10,001+
员工数
Leiden
总部位置
$89B
企业估值
评价
3.7
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.5
管理层
3.8
72%
推荐给朋友
优点
Learning opportunities and professional development
Supportive team and collaborative environment
Good compensation and benefits
缺点
High pressure and performance expectations
Long hours and overwhelming workload
Bureaucratic and rigid structure
薪资范围
42个数据点
Junior/L3
L2
L3
L4
L5
L6
Junior/L3 · Data Analyst
0份报告
$17,436
年薪总额
基本工资
-
股票
-
奖金
-
$14,820
$20,052
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
20%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical Assessment
5
Final Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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