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Human Resources · Full-time

Direct employer

HR DATA & DIGITAL TRANSFORMATION ANALYST M/F

Africa Global Logistics (AGL)

NairobiNot stated · Not statedDeadline not published by employerChecked 13 Oct 2026
Illustration of an office desk with a laptop, notebook and Kenyan flag.

Published by employer

About this role

This plain-English summary was prepared by work.ke from the original advert. Confirm all details on the source before applying.

Role overview

Africa Global Logistics (AGL) is hiring an HR Data & Digital Transformation Analyst in Nairobi, Kenya. This full-time role is suited for someone interested in HR digital projects and data analysis within an international company.

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What you will do

  • Contribute to ensuring the governance, quality, and reliability of HR data from multiple systems.
  • Develop and improve HR dashboards and key performance indicators to aid decision-making.
  • Participate in automating reports and enhancing HR management processes.
  • Support digital transformation initiatives in HR, focusing on data and artificial intelligence.
  • Analyse HR data, provide recommendations, and monitor innovations in HR, data, and AI.
  • Assist in coordinating and following up on transformation projects with various stakeholders.
  • Prepare monthly HR statistics including leave balances, headcount, turnover analysis, and survey data for benchmarking.
  • Consolidate payroll inputs and administer employee insurance and benefits such as medical, group life, fuel, GPA/WIBA, and school fees.
  • Manage employee profiles for leave administration according to country policies.
  • Administer the Employee Self Service module of SAGE 300 and A ‘Community.
  • Handle NEA, NRE /Enablon reporting and track trade union membership monthly.
  • Manage immigration matters including processing work permits, dependant passes, re-entry passes, and Alien cards.
  • Prepare documentation for audits and projects as required.

Requirements

  • Hold a master's degree in human resources or a related field with focus on data analytics, data science, information systems, or statistics.
  • Be highly skilled in Excel, including pivot tables and lookup functions.
  • Have knowledge of data visualization tools such as Power BI, Tableau, or similar.
  • Show interest in HR topics, data governance, and digital transformation.
  • Experience in a data analytics environment is a plus.
  • Be interested in artificial intelligence technologies and their business uses.
  • Possess strong analytical, problem-solving, and synthesis abilities.
  • Work independently, pay attention to detail, and engage well with stakeholders.
  • Have a good command of professional English.

How to apply

Apply through the employer's official contact. The employer has not published a closing date.

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