Data Analyst, Internal Audit

Job not on LinkedIn

🔥 5 minutes ago

🌐 United States, United Kingdom, +1 more countries – Remote

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💵 $107.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Logo of GiveDirectly

GiveDirectly

501 - 1000 employees

Founded 2009

🤲 Charity

🤝 Non-profit

🌍 Social Impact

💰 $1M Grant on 2018-03

Charity • Non-profit • Social Impact

GiveDirectly is a non-profit organization dedicated to alleviating poverty by providing direct cash transfers to individuals in need around the world. With a mission to help people living on less than $2. 15 per day, GiveDirectly empowers recipients to make their own financial decisions by delivering unconditional cash directly to them, leveraging mobile money technology. Their innovative approach has led to broad recognition and has been studied in numerous research projects. By bypassing traditional aid mechanisms, GiveDirectly aims to efficiently and scalably transform lives, offering targeted assistance in regions such as Bangladesh, Kenya, and the United States, among others.

📋 Description

• 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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