Data Analyst, Internal Audit

This is a fully remote position, open to applicants in United States, +2 more countries.

📋 Description

• Examine enrollment, payment, survey, and field operations data to detect patterns of fraud, anomalies, and new fraud typologies across various programs and locations.

• Develop, validate, and sustain ongoing fraud-risk monitoring in collaboration with central data and operational control stakeholders.

• Recognize data-quality issues within Internal Audit and assist in designing and implementing process enhancements.

• Integrate data-driven decision-making into the design of Internal Audit processes.

• Create clear and credible briefs and presentations with actionable recommendations for country teams, operational leadership, and senior management.

• Aid fraud investigations by conducting data analysis, quantifying exposures, and reconstructing events.

• Ensure that investigative analyses are reproducible and audit-ready, with documented queries, data lineage, assumptions, exclusions, and quality assurance checks.

• Convert validated risk signals into product specifications, domain expertise, acceptance criteria, and control testing in collaboration with Product and Central Data teams.

• Collaborate with Data Engineering to improve upstream data quality and pipelines while managing the downstream analytical layer.

• Back-test risk indicators against investigated cases and track precision, coverage, and false-positive rates.

• Communicate uncertainties transparently by differentiating confirmed fraud from suspicious but unverified patterns.

• Work within Internal Audit with a dotted reporting line to the Director of Data; connect Internal Audit domain requirements with organization-wide data and engineering practices.

⛳️ Requirements

• Minimum of 4 years of experience in data analysis, audit, risk, or a similar analytical position.

• Proficient in SQL.

• Comfortable working directly with large, sometimes complex operational datasets, including Salesforce, payments, and survey data.

• Experience using Python for reproducible analysis, automation, record linking, anomaly investigation, or data-quality testing is highly preferred.

• Familiarity with analytical notebooks, version control, and documenting analyses for review and replication is a plus.

• Experience with visualization tools such as Looker, Tableau, or Power BI, and/or Python/R for analysis.

• Ability to convert ambiguous exploratory analyses into a clear, defensible narrative for non-technical stakeholders.

• Experience or a strong interest in collaborating cross-functionally with product and engineering teams to translate analytical needs into product specifications.

• Sound judgment regarding evidence quality and the ability to differentiate genuine signals from noise.

• High integrity and discretion when dealing with sensitive information related to staff, recipients, and ongoing investigations.

• Alignment with GiveDirectly's values, with a focus on prioritizing recipient wellbeing.

• Availability to overlap with the East Africa timezone by a minimum of 3 hours.

• Must be eligible to work in one of GiveDirectly's approved countries.

• GiveDirectly cannot sponsor or assume sponsorship of employment visas in the U.S. or U.K.

🏝️ Benefits

• Target performance bonus: 10%, with potential for additional upside.

• Annual benefits stipend: $21,393 in the United States, £2,760 in the United Kingdom, or $0 in Kenya.

• Comprehensive health benefits plan (specific details vary by country).

• Flexible paid time off.

• Desk set-up allowance.

• Learning and development allowance.

• Referral bonus of $500 for a Manager role or $3,000 for a Senior Manager or higher role, payable if the referral is hired.

• Fully remote work opportunity.