Back Office HR Specialist with Data Analytics
hace 1 semana
Amazon's mission is to be Earth's most customer-centric company where people can find and discover anything they might want to buy online. As a Back Office HR Specialist with Data Analytics, you will play a critical role in driving business outcomes by providing strategic insights to leadership and HR teams. You will work closely with cross-functional teams to design, implement, and improve processes and systems to support business growth.
The estimated salary for this position is $58,000 - $68,000 per year, depending on qualifications and experience. Amazon offers a dynamic and inclusive work environment, opportunities for professional growth and development, and competitive pay and benefits to its employees. Apply now if you are passionate about human resources, data analytics, and process improvement
Job Description
- Data Analysis: Conduct data analysis to identify trends and insights that inform business decisions.
- Process Improvement: Collaborate with HR teams to identify areas for process improvement and develop solutions to increase efficiency and productivity.
- Roster Management: Manage rosters to ensure accurate scheduling and timekeeping for employees.
- Time and Attendance: Ensure compliance with company policies and procedures related to time and attendance.
- Reporting: Develop and maintain reports to track key performance indicators and support business decision-making.
- A bachelor's degree in a related field (human resources, business administration, etc.).
- 3+ years of experience in HR, preferably in a back office role.
- Strong analytical and problem-solving skills, with ability to interpret data and communicate insights to non-technical stakeholders.
- Excellent communication and interpersonal skills, with ability to build relationships with HR teams and business leaders.
- Experience with HRIS systems, particularly those used by large organizations.
- Knowledge of labor laws and regulations affecting employers.
- Ability to work in a fast-paced environment and adapt to changing priorities.
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