HR Data Analyst

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

Job Description:

Airbus Commercial is looking for a HR Data Analyst to join our team based 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!

How We Care for You:

Financial Rewards: Competitive base salary, incentive compensation which may include profit sharing schemes, retirement savings plan and the ability to participate in an Employee Stock Ownership Plan (“ESOP”)
Work/Life Balance: Paid time off including personal time, holidays and a generous paid parental leave program.
Health & Welfare: Comprehensive insurance coverage including medical (traditional and high-deductible health plans), prescription, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
Individual Development: Upskilling and development opportunities through our global Leadership University, including unlimited access to 10,000+ e-learning courses focusing on ways to develop your employability, certifications, career path as well as the opportunity to participate in accelerated development programmes and both national and international mobility.

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.
Suggest improvements in the modeling techniques to and convince the team on new initiatives.
Support in building data visualizations/dashboards to present data insights and recommendations.
Utilize data analytics tools (e.g. Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks.
Write and execute data queries using SQL, Python, or other data analysis programming languages.
Document data processes, findings, and solutions.
Communicate data analysis results and recommendations to stakeholders.
Collaborate with other data analysts and team members on data projects.
Learn and apply new data technologies and best practices.
Ability to work with semi-structured and unstructured data.
Assembling large, complex sets of data that meet non-functional and functional business requirements.
Develop, test, and deploy machine learning models.
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.
Practical experience in a business environment applying analytical skills and tools (Tableau, SQL) to solve real-world problems.

Knowledge, Skills, Demonstrated Capabilities:

Deep curiosity to learn about new applications and projects, self-driven, and analytical.
Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.).
Some experience or project coursework working with databases, data models, and data warehouse concepts.
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.
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.

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:

US - Direct Hire

Experience Level:

Entry Level

Remote Type:

Flexible

Job Family:

Digital

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Job Posting End Date: 05.01.2025

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Airbus provides equal employment opportunities (EEO) to all employees and applicants for employment 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 employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, demotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits and training. 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. As a matter of policy, Airbus does not sponsor visas for US positions unless specified. Only applicants with current work authorization will be considered. Airbus does not offer tenured or guaranteed employment. Employment with Airbus is at will, meaning either the company or the employee can terminate the employment relationship at any time, with or without cause, with or without notice. Airbus reserves the right to revise or change job duties and responsibilities as the need arises. This position 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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