HR Data Analyst
| Company | Airbus |
|---|---|
| Location | Reston, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level |
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.).
- Attention to details with strong communication, presentation, and time management skills.
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.
Preferred Qualifications
- Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification is a plus.