Analyst - WFA
Rio Tinto is hiring an Analyst - WFA in Gurugram, India. Level rates it ; you can apply on Rio Tinto.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 260 other open roles at Rio Tinto.
- The role was posted in the last few days.
AI in this role
ROLE SUMMARY
Analyst – EDM is responsible for timely and accurate management and maintenance of employee data ensuring compliance with SOPs and policies while maintaining confidentiality with sensitive information. Besides employee data management, the role also serves as a quality checker for the service line.
What would you be responsible for:
• Employee Data Management:
o Accurate and timely management of employee data in HRIS or designated systems. This includes carrying out data entry, updates, and maintenance of employee records across the hire-to-retire lifecycle such as onboarding, offboarding, transfers, promotions, and salary changes.
o Handle queries via telephone, email and online ticketing systems as per the SOP; Investigate issues and/or enquiries and determine solutions in consultation with the Manager, Payroll Analyst and/or Site HR
o Perform employee data and organizational hierarchy maintenance in Dual HRIS SAP and Run audit reports to validate data between dual HRIS.
o Collaborate with IT teams to implement data security measures, such as encryption and data loss prevention. Monitor data usage and access patterns to identify and address potential security risks.
• Quality Assurance and Compliance:
o Serve as a quality checker for the service line, and ensure accurate completion of the stipulated activities within the SLA adhering to established guidelines and policies
• Adherence to Policies and Guidelines:
o Ensure compliance with Rio Tinto policies, standard operating procedures (SOP), global/local regulatory requirements
• Professional Development:
o Take responsibility for personal growth and development in the field, seeking opportunities to expand knowledge and skills.
What experience, skills and qualifications are required:
• Bachelor’s degree in Accounting, Business Administration, Human Resources, or a related field required
• 3-5 years of prior experience in employee data management, data analysis, or related roles.
• Strong understanding of employee data, terminology, and regulations.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and accuracy in data analysis and reporting.
• Ability to handle sensitive employee information with utmost care and confidentiality. Knowledge of data security and privacy regulations (e.g., GDPR, CCPA) is a plus.
• Proficiency in SAP data maintenance or EDM, HRIS or other HR data management systems.
• Strong analytical and problem-solving skills, with the ability to analyse complex data sets and draw meaningful insights.
About Rio Tinto
Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive.
We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win situations and meet opportunities.
Respect and Inclusion
At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQ+ community, mature workers, people with disabilities and people from different cultural backgrounds.
We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.
How we rate this
Analyst - WFA at Rio Tinto rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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