HR Data Analyst (Contract)

Airbus•Herndon, VA

9d•Hybrid

About The Position

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!

Requirements

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.
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.
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.
Authorized to Work in the US.
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.

Nice To Haves

Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification is a plus.

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.