Reward & HR Data Analytics Specialist at Airtel Nigeria Full Time

Job Title: Reward & HR Data Analytics Specialist

Location: Lagos, Nigeria (Hybrid)
Job type: Full-time

Purpose of the Job

• To provide Data insights across the full spectrum of the employee lifecycle to enable the team make great decisions and monitor the health of the organization.
• To support the HR team with both cyclical performance and reward activities and projects. The job supports the annual salary review, market surveys, and benchmarking.
• The job manipulates large data sets, providing recommendations back to the business including development of analytical reporting, support of current systems and preparation of management information dashboards & analytics.

Roles and Responsibilities

• Utilization of Predictive Analytics techniques to analyze Human Resources data and predict future events.
• Preparation of HR analytics, dashboards and data reports to be considered by management and staff representatives, highlighting trends and providing analysis.
• Produce reports and liaise with project team to ensure data migration to new HRIS system is completed successfully.
• Regularly review and monitor data quality and building reporting processes to identify any future errors.
• Carry out the annual submission of external data for benchmarking purposes and complete supplementary surveys to provide additional information.
• Support with accurate preparation for annual pay review and bonus scheme including calculation and verification of payments in liaison with Payroll and Finance.
• Work with the Head, Performance & Reward to review the current benefits package.
• Assisting with the development of new reward and benefit processes and programmes to meet business needs and ensure competitiveness.
• Accountable for the administration of Off-Roll employees and their Outsourcing Partners through Headcount and Cost Management, Raising of Quarterly Purchase Requisitions, Approving Monthly Payroll from partners, Advising Partners with Periodic Performance records of Off-roll Employees and Availing Periodic Reports as may be required by different stakeholders.
• Monthly reconciliation reports on Medical and Group-life
• Identify opportunities for improvement of current systems, initiate ideas for change, identify opportunities for standardisation of approach where appropriate.
• Ensures compliance with data privacy regulations and best practices.
• Working as an integral member of the HR team on relevant pieces of work and other duties as required

Qualification and Experience

• Bachelor’s Degree in Computer Science, Statistics, or any related field of study
• Minimum of three (3) years of relevant work experience
• Expert level use of Microsoft Office suite including PowerBI, Excel, Power Automate and Sharepoint.
• Proficient in big data tools like Tableau, Hadoop, SQL, R etc
• Knowledge of Oracle HRMS an added advantage
• Demonstrable project management skills
• Knowledge of Benefits, Job Grading, Pay Structures, Pensions, Pay, PAYE Tax administration and related legislation.
• Experience with benchmarking (Hay, Mercer, WTW)
• Ability to keep the information confidential.

Skills and Competencies:

• Practical experience in Predictive Analytics, Data modelling and analytical skills
• Ability to question data and build a narrative to analyse trends
• Excellent accuracy and attention to detail
• Practical understanding of computer systems and applications
• Good oral and written communication skills and the ability to pass on and explain knowledge to others.
• Effective report writing skills and creativity in presenting data
• A quick learner, able to get to grips with new systems in a short space of time
• Ability to understand complicated structures and how the component parts interact
• Ability to build relationships and manage competing stakeholders at all levels and across departments
• Ability to plan, organise and work to tight deadlines.

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should:

Note

• Only shortlisted candidates will be contacted
• We are an equal opportunity employer and value diversity. We therefore do not discriminate against applicants based on, among others, their race, disability, religion or gender.
• All employment opportunities are decided based on qualifications, merit, and business need.