13 Jul 2026

Employee Engagement Data Analyst at World Vision Kenya

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Job Description

World Vision is an international Christian relief, development and advocacy organisation working in almost 100 countries world-wide to create lasting change in the lives of children, families and communities to overcome poverty and injustice.

Employee Engagement Data Analyst

MAIN RESPONSIBILITIES

Data Cleaning, Merging, Reconciliation, Submission:

  • Own preparation of the global survey dataset, combining HR system (Workday) data with separately collected office submissions.
  • Apply business rules consistently and reconcile records across all data sources.
  • Submit a single, validated dataset to the survey vendor on schedule, with all quality checks complete.

Data Collection:

  • Own employee data collection from offices that operate outside the HR system (Workday).
  • Partner with HR contacts globally to ensure timely, accurate submissions.
  • Validate returned data against established quality standards; identify and resolve issues proactively.

During Survey Support:

  • Serve as the data point of contact during the live survey period.
  • Investigate and resolve participant data queries; escalate systemic issues to the Our Voice programme lead (survey owner).

Post-Survey Updates:

  • Process post-survey demographic corrections to preserve year-on-year trend continuity.
  • Update manager and reporting line data ahead of results release.
  • Resolve ad-hoc data issues as they surface.

KNOWLEDGE, SKILLS AND REQUIREMENTS

  • Bachelor’s degree in HR, Business, Data, or related field; or equivalent qualification or experience.
  • Advanced Excel: lookups (VLOOKUP, XLOOKUP, INDEX-MATCH), pivot tables, conditional formatting, duplicate handling.
  • Comfortable working with large datasets (30,000+ rows).
  • Experience running structured data quality checks across multiple sources.
  • Ability to work independently using detailed process documentation and recorded handover materials.
  • Comfort reading and interpreting structured HR or employee data.
  • Required Language: English.
  • Working Setting: Fully Remote


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : August 2, 2026





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