<div>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. <br><br></div><div>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!<br><br></div><div><strong>Location: Remote, with a requirement to overlap with an East Africa timezone by at least 3 hours. </strong>We can only employ people in certain places at the moment, so it's worth checking our <strong>current list of eligible countries</strong> 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. <strong>We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.</strong><br><br></div><div><strong>About this role</strong></div><div>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.<br><br></div><div>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 engineers and product managers.<br><br></div><div>This role sits within Internal Audit but has a dotted reporting line to the Director of Data in order to ensure we meet the organisational technical quality bar and standardise analytical and engineering practises and ways of working across the organisation. Internal Audit owns fraud-risk questions, indicator definitions, investigative analysis, and interpretation, while the central Data team owns shared data infrastructure, production pipelines, governed data models, and platform standards. The analyst bridges the two: contributing domain requirements, validation, and quality assurance, and ensuring this work aligns with organization-wide analytical and engineering practices. <br><br></div><div>You are as comfortable in a spreadsheet or SQL console as you are in a room with country program leads explaining why a trend matters and what to do about it. You default to evidence over instinct, but you know that a good insight is only useful if someone acts on it.<br><br></div><div><strong>What you'll do</strong></div><ul><li><strong>Analyze fraud risk trends:</strong> Mine enrollment, payment, survey, and field-operations data to identify patterns, anomalies, and emerging fraud typologies (e.g., duplicate enrollments, collusion, identity fraud, diversion of funds) across GD's programs and geographies.</li><li><strong>Design and oversee fraud-risk indicators:</strong> Build, validate, and maintain recurring monitoring in partnership with central data and operational control owners.</li><li><strong>Identify data quality issues</strong> in data currently collected by Internal Audit, and help design and implement process improvements to resolve them.</li><li><strong>Embed data-driven thinking into IA design:</strong> Identify fraud-related decisions where GiveDirectly should be more data-driven, and incorporate this into Internal Audit process design.</li><li><strong>Translate findings into action:</strong> Package analysis into clear, credible briefs and presentations for country teams, operations leadership, and senior management, with concrete recommendations for reducing fraud risk.</li><li><strong>Support fraud investigations:</strong> Provide data pulls, quantify exposure, and help reconstruct events for specific cases — ensuring analysis is reproducible and audit-ready, with documented queries, data lineage, assumptions, exclusions, and QA checks.</li><li><strong>Partner with Product and Central Data on fraud-detection tooling:</strong> Translate validated risk signals into product requirements, contribute domain expertise and acceptance criteria, and test whether controls operate as intended — while maintaining clear ownership and independence boundaries.</li><li><strong>Partner with Data Engineering</strong> on upstream data quality and pipeline improvements, while owning the downstream analytical layer.</li><li><strong>Strengthen methodology over time:</strong> Back-test risk indicators against investigated cases, monitor precision, coverage, and false-positive rates, and refine based on outcomes and emerging risks.</li><li><strong>Communicate uncertainty honestly:</strong> Distinguish confirmed fraud from suspicious-but-unconfirmed patterns, helping stakeholders make decisions without overstating findings.</li></ul><div><strong>What you'll bring</strong></div><ul><li>4+ years of experience in data analysis, audit, risk, or a related analytical role; experience in internal audit, fraud/forensics, or a nonprofit/development context is a plus but not required.</li><li>Strong SQL skills and comfort working directly in large, sometimes messy operational datasets (Salesforce data, payments data, survey data).</li><li>Experience using Python for reproducible analysis, automation, record linkage, anomaly investigation, or data-quality testing is strongly preferred.</li><li>Familiarity with analytical notebooks, version control, and documenting analysis so it can be reviewed and reproduced by others is a plus.</li><li>Experience with visualization tools (e.g., Looker, Tableau, Power BI) and/or Python/R for analysis.</li><li>Demonstrated ability to turn ambiguous, exploratory analysis into a clear, defensible narrative for non-technical stakeholders.</li><li>Experience or strong interest in working cross-functionally with product and engineering teams to translate analytical needs into product requirements.</li><li>Sound judgment on evidence quality: knowing the difference between a real signal and noise, and communicating that distinction transparently.</li><li>High integrity and discretion — this role will have visibility into sensitive information about staff, recipients, and active investigations.</li><li>Alignment with GiveDirectly's values, including prioritizing recipient wellbeing above all else.</li></ul><div><strong><strong>Compensation</strong></strong></div><div>At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy <strong>here</strong>.<br><br></div><div>Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.<br><br></div><div><strong>United States</strong><br><br></div><ul><li><strong>Base Salary:</strong> $107,070</li><li><strong>Bonus at Target Performance:</strong> 10% (~$10,707, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $12,527 in 2025)</li><li><strong>Estimated Total Compensation at Target: $117,777</strong></li><li><strong>Annual Benefits Stipend:</strong> $21,393</li></ul><div><strong>United Kingdom</strong><br><br></div><ul><li><strong>Base Salary:</strong> £70,250</li><li><strong>Bonus at Target Performance:</strong> 10% (~£7,025, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be £8,219 in 2025)</li><li><strong>Estimated Total Compensation at Target: £77,275</strong></li><li><strong>Annual Benefits Stipend:</strong> £2,760</li></ul><div><strong>Kenya</strong><br><br></div><ul><li><strong>Base Salary:</strong> $72,550</li><li><strong>Bonus at Target Performance:</strong> 10% (~$7,255, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $8,488 in 2025)</li><li><strong>Estimated Total Compensation at Target: $79,805</strong></li><li><strong>Annual Benefits Stipend:</strong> $0</li></ul><div>This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. <br><br></div><div><strong><strong>Why work at GiveDirectly?</strong></strong></div><div>At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:<br><br></div><ul><li>A supportive team that works hard and cares hard</li><li>A robust health benefits plan (exact details will vary by country)</li><li>Flexible paid time off that staff is encouraged to take</li><li>Allowances for desk set-up and learning and development</li></ul><div> #LI-REMOTE<br><br></div><div><strong>Working at GiveDirectly</strong><br><br></div><div>GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.<br><br></div><div><em>Flagging for US applicants:</em> We invite you to "Know Your Rights" as an applicant.<br><br></div><div><strong>Commitment to Safeguarding</strong><br><br></div><div>As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.<br><br></div><div>These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.<br><br></div><div>**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**<br><br></div><div><strong>Reasonable Accommodations</strong><br><br></div><div>We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.<br><br></div><div><strong>Want to put your best foot forward on your GiveDirectly application?</strong> Take a look at our Candidate Application Prep Guide<strong>!</strong><br><br></div><div><strong><strong>Referrals</strong></strong></div><div>Know the right person for this role? Please consider <strong>referring them</strong>. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!<br><br></div> Departments: Internal Audit

Data Analyst, Internal Audit

<h3>Job Description</h3><p>Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.</p><p>Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.</p><h3>Overview</h3><p>The Professional/Individual Contributor Staff member is responsible for performing work responsibilities, building relationships, and sharing expertise and experience as he/she contributes to specific bodies of work, builds connections, and optimizes performance.</p><p>As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. Sr. Lead Data Engineers typically design, implement, maintain, and optimize necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. You must have a general understanding of Supply Chain operations and be able to quickly develop mastery of the needed subject area across Supply Chain.</p><p>Our Senior Lead Data Engineers work with wide latitude for action or decisions on projects that are more complex and cross-functional in nature. They serve as technical anchors within one or more product areas or platform capabilities, applying advanced knowledge to outcomes of complexity and providing technical leadership and consultation to peer engineers on the design patterns, modeling standards, and testing frameworks that keep data products consistent, scalable, and aligned to enterprise standards. They act as a subject-matter expert and resource on data and/or analytics technology, and they may represent SCDA in external conversations. They also assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of IT and analyst teams. Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and Python.</p><p>We expect our Senior Lead Data Engineers to have demonstrated fluency in both the technology language of IT and the analyst language of Supply Chain. They bring deep experience developing and implementing data models for analytic use and strong proficiency with cloud database architecture. They apply seasoned judgment to ambiguous, multi-source data problems, balancing performance, cost, and maintainability, and they work steadfastly with cross-functional partners to create impactful change.</p><h3>Responsibilities</h3><ul><li>Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.</li><li>Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.</li><li>Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.</li><li>Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.</li><li>Helps design patterns for efficient use of cloud compute resources.</li><li>Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi-source data problems.</li><li>Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.</li><li>Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.</li><li>Owns and is accountable for data model and code quality and any relevant documentation.</li><li>Acts as a technical anchor for one or more product areas or platform capabilities, owning end.</li><li>Implements data governance and master data management principles across specific project execution.</li><li>Acts as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.</li><li>Drives complex projects to success and enables others to own the impact.</li><li>Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use.</li></ul><h3>Required Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has strong analytical and data modeling skills</li><li>Has a deep understanding of cloud database technology</li><li>Has a deep understanding of analytic platform data use</li><li>Has strong programming skills in SQL and Python</li><li>Has experience developing and implementing data models for analytic use</li><li>Has moderate experience with cloud database architecture</li><li>Has the skill to partner with cross-functional teams using strong written and verbal communication</li><li>Fast learner and proven problem solver</li><li>Keen eye for system thinking and process design, especially with respect to scalability and automation</li><li>Keen eye for detail and thoughtful investigation of data</li><li>Has a steadfast focus on creating impactful change</li></ul><h3>Preferred Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has some experience using the AWS big data technology stack</li><li>Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms</li><li>Has extensive experience with Tableau or similar data visualization tools</li><li>Has some experience implementing data governance principles</li><li>Has experience defining engineering standards, design patterns, or leading design reviews for peer engineers within a product area or discipline</li></ul><h3>Required Years of Experience</h3><p>5</p><h3>Preferred Years of Experience</h3><p>10</p><h3>Travel Requirements</h3><p>10%</p><h3>Required Level of Education</h3><p>Bachelor's Degree</p><h3>Preferred Level of Education</h3><p>Master's Degree</p><h3>Required Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Preferred Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Relocation Assistance Provided</h3><p>No</p>

Sr. Lead Data Engineer

<h3><strong>YOUR ROLE</strong></h3><div><br></div><div>You would be the first person dedicated to building the data and automation backbone of Desiring God's Donor Partnership team — a brand-new role at the intersection of technical systems builder and warm, theologically grounded communicator. Until now, donor lifecycle intelligence and automated communications have lived across a mix of manual processes and ad-hoc workflows inside Pipedrive, limiting how consistently the team could surface the right moment to reach out and the right words to say. You would change that by architecting the systems that make Desiring God's donor relationships feel more attentive and more human at scale, not less.<br><br></div><div>Your primary focus would be building and maintaining the data infrastructure and automated communication workflows that let the Donor Partnership team spend their limited relational capacity where it matters most. On the data side, that means creating dashboards in Sigma, maintaining data hygiene across systems, and surfacing specific opportunities for partner growth, retention, or re-engagement. On the systems side, it means configuring the triggers, segments, suppression rules, and timing logic that turn those insights into a reliable, always-on layer of relational touchpoints. And because those touchpoints are only as good as their words, you would also write the warm, mission-aligned copy that carries Desiring God's voice through every automated email.<br><br></div><div>This is a new role — there's no existing process to inherit, which means real ownership over how this function gets built and meaningful room to shape it as it matures. You would report to the Director of Donor Partnership and work closely with the rest of the team and Desiring God’s Data Scientist and Director of Spreading to translate donor data into both smart systems and genuine words of gratitude.<br><br></div><div><br></div><h3><strong>RESPONSIBILITIES</strong></h3><div><br></div><div><strong>Donor Data &amp; Lifecycle Intelligence (50%): </strong>Build and maintain dashboards in Sigma, monitor and maintain data hygiene between Hub and other systems, and identify specific opportunities for partner growth, retention, or re-engagement — so no meaningful partner moment goes unnoticed and the team is always working from current, data-informed intelligence.<br><br></div><div><strong>Automation Architecture &amp; Systems (40%): </strong>Design, build, and maintain automated donor communication workflows by configuring journey logic in Customer.io — triggers, segments, suppression rules, and timing tied to the lifecycle and growth moments identified through Hub data — creating a scalable, reliable infrastructure of relational touchpoints that frees the team for high-value personal engagement.<br><br></div><div><strong>Donor Communication Copywriting (10%): </strong>Write and maintain the donor-facing email content within automated workflows, drafting warm, mission-aligned messages that reflect Desiring God's voice, theological convictions, and genuine gratitude for our partners' support.<br><br></div><div><br></div><h3><strong>WHAT WE'RE LOOKING FOR</strong></h3><div><br></div><h3>You Are</h3><div><br></div><ul><li>3–5 years of experience with CRM or marketing automation platforms (Virtuous, Salesforce, HubSpot, Customer.io, or similar).</li><li>Demonstrated ability to build automated, multi-step communication workflows — triggers, segmentation, suppression logic, and timing.</li><li>Comfort with mining data to surface actionable insight — you can build a dashboard and also know what question it should answer.</li><li>Experience with a BI or reporting tool (Sigma, Looker, Tableau, or similar) is a plus.</li><li>Strong writing skills — able to shift fluidly between technical system logic and warm, donor-facing prose.</li><li>Detail-oriented with data hygiene — comfortable owning the unglamorous work of keeping systems clean and in sync.</li><li>Excellent written and verbal communication.</li><li>Experience in a nonprofit, ministry, or donor-relations context is a plus.<br><br></li></ul><h3>You Are</h3><ul><li>A builder who's equally at home architecting a workflow and drafting the email that runs through it — you don't need a handoff between the technical and the relational.</li><li>A translator: you take raw donor data and turn it into a clear, specific opportunity someone on the team can act on.</li><li>Systems-minded — you think in triggers, segments, and edge cases, and you build things that keep working when you're not the one watching them.</li><li>A careful writer who can sound like Desiring God — warm, theologically grounded, and genuinely grateful — even when the message is automated.</li><li>Someone who treats data hygiene and quiet maintenance as real craftsmanship, not just a means to the interesting work.</li><li>A Christian genuinely moved by the mission: you see donor systems not as back-office plumbing but as a way to help real relationships between Desiring God and its partners feel seen and known.<br><br></li></ul><div><br></div><h3><strong>The Team</strong></h3><div><br></div><div>You would report to the Director of Donor Partnership and sit inside the Donor Partnership team — the group responsible for Desiring God's relationships with financial partners. This is a new role: there is no existing process or system to inherit, so you would have real ownership over how this function gets built, with meaningful room to shape the role, the tooling, and the operating rhythm as it matures. You'd work closely with the Director on workflow priorities and measurement, and coordinate as needed with Engineering and other teams on data integrations between Hub and other systems.<br><br></div><div><br></div><h3><strong>Culture</strong></h3><div><br></div><ul><li>You like building things that quietly run well — reliable systems more than one-off wins.</li><li><a href="https://www.desiringgod.org/about/core-values#humble-authenticity">Humble authenticity</a> in heart posture, working with excellence but with others on the team in humility.</li><li>Excited to dig into data and translate what you find into action, not just reports.</li><li>The ability to orient around plans and deadlines to complete work on schedule.</li><li>Able to receive feedback and critique from a team and prioritize what to incorporate.</li><li>Treasuring and embodying the truths of a <a href="https://www.desiringgod.org/topics/christian-hedonism">Christian Hedonist</a>.<br><br></li></ul><div><br></div><h3><strong>REQUIREMENTS FOR THE ROLE</strong></h3><div><br></div><ul><li>Ability to adhere to our <a href="https://www.desiringgod.org/about/affirmation-of-faith">affirmation of faith</a>.</li><li>Able to legally work in the United States without sponsorship.</li><li>Desiring God is a hybrid workplace, and this role is open to remote talent.<br><br></li></ul>

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