Employee Engagement Data Analyst
World Vision Kenya
| Company | World Vision Kenya |
| Category | Data & Analytics |
| Location | Nairobi |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | KES 30k–100k |
| Posted | 13 Jul 2026 |
| Last verified | 12 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
About the Role
We are seeking a detail-oriented data professional to own the preparation, collection, and validation of global survey datasets. In this fully remote role, you will partner with HR contacts worldwide to ensure accurate and timely employee data submissions, manage data reconciliation across multiple sources, and support the live survey period. Your work will directly impact the integrity of our employee feedback programme.
Key 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.
Qualifications & 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.