Data Analyst Job in Kenya - UN


  • Generate comprehensive reports and visualizations to effectively communicate findings and insights to HR stakeholders.
  • Develop and implement the analysis, reporting and quality control of HR service delivery.
  • Design and implement HR-relevant dashboards and KPI monitoring tools to facilitate informed decision-making.
  • Identify and extract appropriate data sources for analytics projects from HR-related tools and systems (i.e., corporate tools related to talent acquisition, staff benefits and entitlements, Customer Relation Management Systems, other HR functions).
  • Lead the data Quality Assurance and Enhancement processes, through review and assessment of the quality of HR data across various systems and sources.
  • Implement robust data cleaning and validation procedures to maintain data accuracy and consistency.
  • Collaborate with data engineers and data scientists to optimize data flows, enhance data quality, and drive continuous improvement.
  • Produce a diverse range of HR reports and statistical analyses crucial for billing purposes and strategic decision-making.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and data quality.
  • Identify, analyze, and interpret trends or patterns, using machine learning techniques for trend analysis and predictive modelling.
  • Utilize statistical techniques and predictive modeling to forecast future HR trends and outcomes.

  • Collaborate with HR business partners to translate analytical insights into actionable strategies for talent management and workforce planning.
  • Diversity and inclusion analytics. Evaluate diversity and inclusion metrics, such as representation, geography, gender parity and employee demographics. Identify disparities and gaps in representation across various demographic groups. Collaborate with HR and Diversity & Inclusion teams to develop strategies for fostering a more inclusive workplace culture.
  • Assist other functional areas with KPI and dashboard-related matters to ensure alignment with organizational goals.
  • Lead a team of senior assistant data analysts, providing guidance and support to drive team success.
  • Perform other duties as assigned to support the overall objectives of HRMS.

Competencies and Qualifications


  • Advanced university degree (Master’s degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management or a related field. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Work Experience

  • A minimum of five (5) years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, project management, stakeholder management or related area is required. A minimum of three (3) years of experience developing HR dashboards is required. Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar) is required. Knowledge of business intelligence tools (SAP Business Objects, etc.) is required. A minimum of three (3) years’ experience working with Customer Relations Management tools is desirable. Experience in tools managing version control such as Git is desirable. Experience with database or programming languages (SQL, Python, R) is desirable.

How To Apply

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