HR Data & Digital Transformation Analyst M/F

Role Overview

This role supports HR transformation and digitalisation across Kenya, combining people-data analysis with the operational work that keeps HR services accurate and compliant. You will improve reporting and data quality, contribute to digital and AI initiatives, and coordinate with colleagues across functions to help HR make informed decisions.

Key Responsibilities

• Maintain the quality, consistency and reliability of HR information held across different systems, and prepare monthly statistics covering leave balances, headcount, starters, leavers, transfers and turnover trends.
• Build and refine HR dashboards, KPIs and recurring reports; streamline reporting tasks through automation where appropriate.
• Consolidate payroll inputs and prepare survey information for benchmarking when required.
• Administer employee benefits and insurance arrangements, including medical, group life, fuel, GPA/WIBA and school-fee benefits.
• Maintain employee profiles and leave records in line with country policies and procedures, and support the SAGE 300 Employee Self Service module and A’Community.
• Prepare NEA, NRE and Enablon reports, and maintain records of trade union membership with monthly tracking.
• Coordinate immigration documentation and applications for work permits, dependant passes, re-entry passes and alien cards.
• Support HR data and AI transformation initiatives by analysing findings, sharing recommendations, tracking relevant developments and coordinating project actions with stakeholders; prepare documentation for audits and projects.

Requirements & Qualifications

• Master’s degree in Human Resources, with a specialisation in data analytics, data science, information systems, statistics or a related discipline.
• Strong Excel skills, including pivot tables and XLOOKUP or VLOOKUP, alongside practical data-analysis capability.
• Familiarity with Power BI, Tableau or a comparable data-visualisation platform.
• Experience in a data-analytics environment is an advantage.
• Interest in HR, data governance, digital transformation and the practical use of artificial intelligence in business.
• Strong analytical, problem-solving and synthesis skills, with careful attention to detail and the ability to work independently.
• Confidence working with stakeholders and professional fluency in English.