• Collect, clean, and transform data from multiple business systems and data sources.
• Perform large-scale data analysis using statistical and analytical techniques to identify trends and business insights.
• Build interactive dashboards and reports using Tableau, Power BI, or similar visualization tools.
• Write and execute SQL and Python queries to extract, manipulate, and analyze data.
• Develop data models and support machine learning initiatives to solve business challenges.
• Analyze structured, semi-structured, and unstructured data (XML, JSON, etc.).
• Present data-driven recommendations and communicate findings to HR leadership and cross-functional stakeholders.
• Document data processes, methodologies, and analytical findings.
• Collaborate with business partners to improve reporting, analytics, and decision-making processes.
• Support continuous improvement initiatives by recommending enhancements to analytical models and reporting tools.
• Learn and implement emerging data technologies and best practices.

Join a global leader in aerospace innovation, and help transform the future of Human Resources through data-driven decision making. 

As an HR Data Analyst, you will leverage analytics, data visualization, and business intelligence tools to uncover insights that improve the employee experience and support strategic business decisions.

Working alongside HR and cross-functional teams, you'll analyze complex datasets, develop dashboards, and present meaningful insights that drive organizational performance.

• Bachelor's Degree in one of the following or a related quantitative field:
  • Data Science
  • Computer Science
  • Information Technology
  • Business Information Systems
  • Management Information Systems
  • Mathematics
  • Statistics
  • Engineering
  • Economics
  • Applied Sciences
• 3+ years of professional data analysis experience.
• 2+ years of experience using SQL and Python.
• Experience building dashboards and visualizations using Tableau, Power BI, or similar BI tools.
• Strong analytical, problem-solving, and critical thinking skills.
• Experience working with structured, semi-structured, and unstructured datasets.
• Knowledge of databases, data models, and data warehousing concepts.
• Excellent communication, presentation, and stakeholder management skills.
• Strong attention to detail and ability to manage multiple priorities.

• Experience applying machine learning models in a business environment.
• Experience with Alteryx, Skywise, MATLAB, R, SAS, or Excel for advanced analytics.
• Knowledge of HR analytics or workforce data is preferred.
• Google Cloud Professional Data Engineer or similar data engineering certification.
Additional Requirements
• Must be authorized to work in the United States.
• Ability to travel up to 10% domestically.
• Hybrid schedule: 80% on-site, 20% remote.

Here’s a heads-up of the upcoming steps:

• Phone Interview with Recruiter: We’ll begin with an introductory call to discuss your background and interest in the role. Please make sure to add your correct phone number. You will hear from us soon. 
• Interview with the Hiring Manager
• Offer Letter: We´ll extend you an offer and start the onboarding process.
• Background Check & DOT Drug Screen: This step involves conducting a comprehensive background check, which includes reviewing criminal history, and other relevant records. Additionally, a Department of Transportation (DOT) drug screening will be carried out to ensure compliance with federal regulations for safety-sensitive positions
• You start your next challenge!
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