Data Analyst, Internal Audit at GiveDirectly — Remote | HireMeridian

Data Analyst, Internal Audit at GiveDirectly. Remote, open to Africa & EMEA. Apply directly — no middleman.

Job description

GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist , NPR , TED , and The Washington Post . We are one of Time100's Most Influential Companies of 2026. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do . If they resonate, this could be a great fit! Location: Remote, with a requirement to overlap with an East Africa timezone by at least 3 hours. We can only employ people in certain places at the moment, so it's worth checking our current list of eligible countries to see if yours is included. If you're based elsewhere, it's not an automatic no, but do flag it early with your recruiter. We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time. About this role GD moves cash directly into the hands of people living in poverty, often in contexts with limited infrastructure and oversight. Protecting that cash from fraud - whether attempted by external bad actors, field staff, or recipients - is core to our mission and to donor trust. Internal Audit is GD's second line of defense against fraud, and this role sits at the center of it. We're looking for a Data Analyst who can turn raw operational, payments, and enrollment data into a clear picture of where fraud risk is emerging across our programs, translate those patterns into recommendations that change how projects are designed, and partner with our Product team to build the tools that help us catch fraud earlier and more reliably. You'll move fluidly between deep analysis, clear storytelling to stakeholders who aren't data specialists, and hands-on collaboration with

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