Data Analyst, Internal Audit

📋 Description

• Analyze fraud risk trends: Mine enrollment, payment, survey, and field-operations data to identify
• Design and oversee fraud-risk indicators: Build, validate, and maintain recurring monitoring in
• Identify data quality issues in data currently collected by Internal Audit, and help design and
• Embed data-driven thinking into IA design: Identify fraud-related decisions where GiveDirectly
• Translate findings into action: Package analysis into clear, credible briefs and presentations for
• Support fraud investigations: Provide data pulls, quantify exposure, and help reconstruct events

🎯 Requirements

• 4+ years of experience in data analysis, audit, risk, or a related analytical role; experience in
• Strong SQL skills and comfort working directly in large, sometimes messy operational datasets
• Experience using Python for reproducible analysis, automation, record linkage, anomaly
• Familiarity with analytical notebooks, version control, and documenting analysis so it can be
• Experience with visualization tools (e.g., Looker, Tableau, Power BI) and/or Python/R for analysis.
• Demonstrated ability to turn ambiguous, exploratory analysis into a clear, defensible narrative for

🎁 Benefits

• A supportive team that works hard and cares hard
• A robust health benefits plan (exact details will vary by country)
• Flexible paid time off that staff is encouraged to take
• Allowances for desk set-up and learning and development
• Annual Benefits Stipend: $21,393 (US), £2,760 (UK), $0 (Kenya)