Summer Internship - HR Data Analyst

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Job Description:

Airbus Commercial Aircraft is looking for a Summer Intern - Data Analyst to join our HR Digital Transformation department based in Herndon, VA.

You will join a team collaborating with partners, crafting methodologies to solve problems and use sophisticated analytics and algorithms in the context of business needs. You will be able to apply your innovative analytical skills to real-world projects to make customer experiences better.

You will focus on developing hypotheses and employ a diverse toolkit of detailed analytical approaches, different methodologies, frameworks, and technical approaches to test them. You will perform data extraction, exploratory data analytics, and present your findings in dashboards and reports.

You won’t simply present data, but tell data-driven stories. You will influence analytics projects and decisions with data, be passionate about impact, and collaborate with other teams.

Working in our Human Resources department, it’s our mission to help support Airbus’ greatest assets: our people. We work cross-departmentally as well as with our global counterparts to ensure we are making a positive impact on all aspects of our employee experience.

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!

At Airbus, we support you to work, connect and collaborate more easily and accessibly. Wherever possible, we support flexible working arrangements to stimulate innovative thinking.

• Assist in collecting, cleaning, and redefining data from different sources.
• Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.
• Develop, test, and deploy supervised and unsupervised machine learning models.
• 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.
• Apply data analytics tools (e.g. python, alteryx, skywise,) for data manipulation, basic analysis, and reporting tasks.
• Write and implement data queries using SQL, Python, or other data analysis programming languages.
• Document data processes, findings, and solutions.
• Communicate data analysis results and recommendations to partners.
• Collaborate with other data analysts and team members on data projects.
• Learn and apply new data technologies and standard processes.

• Must be a college student working towards a Bachelor&39;s, Master&39;s, or Ph.D. 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 during the duration of the internship.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship.
• Must be able to obtain work authorization at the time of hire, and maintain ongoing work authorization during employment.
• Must be able to commit to a 3 - 4 months full-time internship.
• Candidates must be local or willing to relocate to the Herndon Virginia area for the duration of the internship if not already local to the area.

• Deep curiosity to learn about new applications and projects, dedicated, 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.
• Experience with data querying languages (e.g. SQL), and scripting languages (e.g. Python).
• Some experience or coursework 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.

Ability to work in the US without current, or future, need for visa sponsorship/work authorization is required for this opportunity.

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.

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Job Posting End Date: 04.01.2024

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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&64;airbus.com.