Airtel Nigeria Recruitment For Reward & HR Data Analytics Specialist

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Airtel Nigeria Recruitment For Reward & HR Data Analytics Specialist

Airtel Nigeria (Airtel Networks Limited) is a leading telecommunications services provider in Nigeria headquartered in Lagos, the commercial nerve-centre of Nigeria. The telco ranks amongst the top four mobile service providers in terms of subscribers with a customer base of more than 39.8 million. The company’s product offerings include 2G, 3G and 4G wireless services, mobile commerce and enterprise services.

Airtel Nigeria Recruitment For Reward & HR Data Analytics Specialist

We are recruiting to fill the position below:

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.
  • 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 standardization of approach where appropriate.
  • Ensures compliance with data privacy regulations and best practices.
  • 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.
  • 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
  • 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.
  • 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

Skills and Competencies:

  • Practical experience in Predictive Analytics, Data modelling and analytical skills
  • Ability to question data and build a narrative to analyse trends
  • 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, organize and work to tight deadlines.
  • 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.

How to Apply
Interested and qualified candidates should:
Click here to apply

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

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