Airbus Commercial is looking to solve business needs through advanced analytics and algorithms in the context of HR data analysis
Requirements
- 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
- 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
- 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
- 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
- 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
- Develop, test, and deploy machine learning models
- Perform business data analysis, identifying key facts and recommendations in accordance with Airbus business standards
Other
- 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
- Authorized to Work in the US
- 10% Domestic travel required
- Candidate should be comfortable working for extended periods of time using computers and be able to travel independently
- Deep curiosity to learn about new applications and projects, self-driven, and analytical
