Temporary HR Employee Data Business Analyst
Job Description
Our team is focused on workday core, handling end to end global business processes such as hire, job changes, terminations, and personal information. Additionally, we also support merger and acquisition and employee records processes. This team also handles and supports cross-functional projects and supports testing and releases of workday system.
We are seeking an Analyst of Employee Data to join our team. In this role you will be responsible for:
Participate in cross-functional projects related to Core business processes for HR
Develop strong relationships with customers to understand business processes and identify value drivers.
Work across different departments identifying root cause of data problems, documenting the quality issues, addressing solutions and implement process improvement initiatives to solve them
Participate and perform testing and quality checks during the implementation of new versions of our HR system of records or process enhancements
Performs analytical deep dives and ad-hoc reporting to identify problems, opportunities, and actions required.
The ideal candidate should exhibit the following behavioral traits:
Ability to work in a cross-functional environment.
Strong organization and process skills
Strong problem-solving and analysis skills
Outstanding attention to detail and results-oriented and to adapt quickly to changes
Self-driven to work with minimal supervision and maintain productivity
Strong written and verbal communication skills, with a proactive approach and great customer service to interact professionally with senior management and to foster partnerships with other functional areas
Learn fast new technologies and processes
Capable of thinking out the box on how different scenarios could be supported.
Aptitude to solve problems using data
Understand HR data relationships and implications for data mapping decisions.
Translate data into information, including visualization and report-writing skills
Please note that this position is temporary and will be for a duration of 1 year.
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum qualifications:
Bachelor's degree in Industrial Engineering, System Engineering, Business Administration, or related field or 3+ years of related experience in place of a degree.
2+ years of proven experience in data analytics in a related department
Advanced English level to express ideas clearly and simply
Advanced knowledge of Excel and MS Office
Preferred Qualifications:
1+ years of experience in Employee Data or Business Analyst role
Experience in Workday
Inside this Business Group
Intel's Human Resources group is responsible for hiring, developing and retaining the best and brightest employees while continuing to strengthen the company's culture and values. Intel Human Resources provides first-rate, cost-effective services and support to employees worldwide and is dedicated to advancing Intel's business goals.Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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