Data Analyst, Internal Audit
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Job Description
Data Analyst detecting fraud risks across GiveDirectly’s global cash-transfer programs. Turning operational and payments data into audit-ready insights and fraud-detection tools.
Responsibilities:
- Analyze enrollment, payment, survey, and field-operations data to identify fraud patterns, anomalies, and emerging fraud typologies across programs and geographies
- Build, validate, and maintain recurring fraud-risk monitoring with central data and operational control owners
- Identify Internal Audit data-quality issues and help design and implement process improvements
- Incorporate data-driven decision-making into Internal Audit process design
- Prepare clear, credible briefs and presentations with recommendations for country teams, operations leadership, and senior management
- Support fraud investigations through data pulls, exposure quantification, and event reconstruction
- Ensure investigative analysis is reproducible and audit-ready with documented queries, data lineage, assumptions, exclusions, and QA checks
- Translate validated risk signals into product requirements, domain expertise, acceptance criteria, and control testing with Product and Central Data
- Partner with Data Engineering on upstream data-quality and pipeline improvements while owning the downstream analytical layer
- Back-test risk indicators against investigated cases and monitor precision, coverage, and false-positive rates
- Communicate uncertainty honestly by distinguishing confirmed fraud from suspicious but unconfirmed patterns
- Work within Internal Audit with a dotted reporting line to the Director of Data; bridge Internal Audit domain requirements with organization-wide data and engineering practices
Requirements:
- 4+ years of experience in data analysis, audit, risk, or a related analytical role
- Strong SQL skills
- Comfort working directly in large, sometimes messy operational datasets, including Salesforce, payments, and survey data
- Experience using Python for reproducible analysis, automation, record linkage, anomaly investigation, or data-quality testing is strongly preferred
- Familiarity with analytical notebooks, version control, and documenting analysis for review and reproduction is a plus
- Experience with visualization tools such as Looker, Tableau, or Power BI, and/or Python/R for analysis
- Ability to turn ambiguous exploratory analysis into a clear, defensible narrative for non-technical stakeholders
- Experience or strong interest in working cross-functionally with product and engineering teams to translate analytical needs into product requirements
- Sound judgment on evidence quality and ability to distinguish real signals from noise
- High integrity and discretion when handling sensitive information about staff, recipients, and active investigations
- Alignment with GiveDirectly's values, including prioritizing recipient wellbeing
- Ability to overlap with an East Africa timezone by at least 3 hours
- Must be eligible to work in one of GiveDirectly's eligible countries
- GiveDirectly cannot sponsor or take over sponsorship of employment visas in the U.S. or U.K.
Benefits:
- Bonus at target performance: 10%, with potential for upside
- Annual benefits stipend: $21,393 in the United States, £2,760 in the United Kingdom, or $0 in Kenya
- Robust health benefits plan (exact details vary by country)
- Flexible paid time off
- Desk set-up allowance
- Learning and development allowance
- Referral reward of $500 for a Manager role or $3,000 for a Senior Manager or above role, paid if the referral is hired
- Fully remote work
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