HR Data Analyst (Contract)

Job summary

Air*** is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at USCareers@Air***.

Benefits

Qualifications

• 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.
• Develop, test, and deploy machine learning models.
• Performs business data analysis, identifying key facts and recommendations in accordance with Air*** business standards.
• Qualified Experience /
• Onsite or remote: 80% onsite and 20 % remote.
• Vision: able to see and read computer screens and other electronic equipment with screens, able to read documents, reports and engineering drawings.
• Hearing: able to participate in conversations in person and via teleconference or phone and to hear sounds on the production floor including safety warnings or alarms.
• Speaking: able to speak in conversations and meetings, deliver information and participate in communications.
• Air*** complies with applicable state and local laws governing nondiscrimination in every location in which the company has facilities.
• This assignment description does not constitute a written or implied contract of employment.
• By submitting your CV or application you are consenting to Air*** using and storing information about you for monitoring purposes relating to your application or future employment.
• This information will only be used by Air***.

Responsibilities

• As a Data Analyst at Air***, 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.
• Assist in collecting, cleaning, and transforming data from various data sources.
• Perform large-scale data analysis using mathematical and statistical methods and

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