<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

<div>Indiana Wesleyan University is seeking experienced Adjunct Faculty to teach undergraduate and graduate applied A.I. courses in an online, asynchronous format. Additional opportunities exist to teach international student courses in a hybrid format, which includes online coursework and a two-day in-person session located in Merrillville, IN or Dallas, TX.<br><br>We are seeking faculty with a Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related course work and recent experience in applied A.I. and data analytics. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.<br>&nbsp;</div><div><strong>Duties and Responsibilities</strong></div><ul><li>Perform instruction related duties and responsibilities in a timely manner and in accordance with the mission, policies and procedures of the college.</li><li>Employ a range of suitable strategies to foster student learning, stimulate class discussions, encourage active learning in all students, maintain proper class related records, promptly assess student coursework, and apprise students of progress.</li><li>Articulate, current within his or her discipline, and demonstrate a passion for teaching and learning with related professional experience.</li><li>Incorporate Biblical principles into the content area</li><li>Communicate with all IWU constituents in a professional and academic manner. - (Essential)</li></ul><div>&nbsp;</div><div><strong>Education</strong></div><ul><li>Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related field. Or a Doctorate at 18 graduate hours in the field. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.</li></ul><div><br><strong>Experience</strong></div><ul><li>5+ years of experience in A.I., data science, and/or the integration of emerging technology into the business environment. This may include cross-disciplinary experience into technology application in particular fields such as healthcare, finance, manufacturing, business, and education.</li><li>Prior teaching experience preferred.</li><li>Applicants with at least five years of relevant work experience in Data Analytics/Science, Computer Science, Artificial Intelligence,</li><li>Information Technology are invited to apply. Teaching experience in cross-cultural settings preferred (not required)</li></ul><div><br><strong>Required Skills</strong></div><ul><li>Ability to model an active and mature personal faith in Jesus Christ</li><li>Demonstrated subject matter expertise and active involvement in continuous education/scholarship in the field</li><li>Passion and ability to teach effectively, including effective written and verbal communication</li><li>Ability to motivate and connect with students of diverse ages, cultures, and backgrounds</li><li>Ability to be engaged, reliable, and professional in a distributed work environment</li><li>Proficiency in MS Office products and online Learning Management software</li></ul>

Adjunct Faculty, Artificial Intelligence and Analytics

<h3>About the Company</h3><p>Logos is a purpose-driven tech company dedicated to building technology solutions that equip the church to grow in the light of the Bible. Our team is committed to increasing biblical literacy and accessibility for every Christian around the world. We do so by delivering value along three fronts: software tools, community collaboration, and rich digital content. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.</p><h3>About the Role</h3><p>We're looking for a Data Scientist to join our Analytics team, reporting to the Director of Analytics and Data Science. You'll work as a peer to our Staff Data Scientist, jointly owning the data science function at Logos—predictive modeling, experimentation, and the recommendations work that shapes how hundreds of thousands of customers discover and use our products.</p><p>This is a role with real ownership. You will decide how to approach problems, what methods fit, and—just as importantly—what isn't worth doing. We're a lean team inside a company in the middle of a significant data transformation, which means the work is broad and the impact is visible, but it also means we need someone who brings their own judgment rather than waiting for direction.</p><p>We're results-driven, not academic. A model or analysis is only good if it measurably reduces churn, increases usage, or drives revenue. Methodological elegance that doesn't move a business metric isn't a win here.</p><h3>Responsibilities</h3><ul><li>Own data science projects end to end—problem framing, method selection, modeling, validation, and presenting results to the leaders who will act on them.</li><li>Ship data science work as certified, production-ready data products: models, scores, and features that other teams can trust and build on.</li><li>Design, run, and interpret experiments, including hypothesis formulation, sizing, and honest reads on inconclusive results.</li><li>Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks.</li><li>Help set the data science roadmap alongside the Staff Data Scientist and the Director, including pushing back when a request won't produce value.</li><li>Partner with Data Champions, the embedded analysts distributed across our business teams, so that data science output gets adopted rather than just delivered.</li><li>Work with the Data Platform team to validate data quality and the reliability of upstream data products.</li><li>Mentor analysts and less experienced team members, and contribute to code review and team standards.</li><li>Keep documentation and reproducible code current enough that a colleague could pick up your work without you in the room.</li></ul><h3>Requirements</h3><ul><li>4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field.</li><li>A track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight.</li><li>A results-driven mindset: you judge your own work by measurable business impact—churn, usage, revenue—and you can tell when a model isn't earning its keep.</li><li>Strong SQL and fluency in Python or R.</li><li>Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you.</li><li>The judgment to prioritize: deciding what to work on, what to defer, and what to decline.</li><li>Excellent communication skills, with the ability to explain technical work to non-technical audiences and to hold your position when the data supports it.</li></ul><h3>Preferred Requirements</h3><ul><li>Experience as the only data scientist—or one of very few—on a team, where you had to operate without a technical safety net.</li><li>Hands-on experience with Databricks and dbt.</li><li>Exposure to production ML systems, recommendation engines, or MLOps practices.</li><li>Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics.</li><li>Familiarity with a data mesh or distributed analytics operating model.</li></ul><h3>Why This Role</h3><p>Data science at Logos is small, which means your work is not one input among dozens—it is the data science capability of the company. You'll have latitude to shape how the function operates, a Staff Data Scientist to think alongside, and a Director who will back your judgment. As the team and the company's data maturity grow, so does the scope available to you.</p><h3>Benefits</h3><ul><li>Competitive family medical, dental, vision, and life insurance</li><li>3 company-paid holidays per year in addition to regular holidays</li><li>4 days of paid time off (PTO) per year</li><li>Paid time off (PTO) on your birthday</li><li>Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus)</li><li>Awards and recognition program</li></ul>

Data Scientist

<div><strong>WHO WE ARE&nbsp;</strong></div><div>International Scripture Ministries, Inc. (ISM) is a global ministry that leads and pioneers the use of technology to serve the worldwide church in fulfilling the Great Commission. We believe the Bible is the inspired Word of God and that every person should have a direct path to know Christ and His teachings.</div><div><br>Headquartered in Dallas, Texas, we are a high-performing team with an agile and diverse staffing model. Operating daily in Google Workspace, we utilize relevant program management and communication tools, such as monday.com, Slack, and others.</div><div><br>Together, we bring new technologies to life quickly and thrive in a Christ-centered, family-oriented culture. We emphasize a “spirit of excellence” in all we do.</div><div><strong><br>WHAT WE DO&nbsp;</strong></div><div>ISM is passionate about the Bible, its transformative power, and its role in fulfilling the Great Commission. With a proven track record of harnessing cutting-edge technologies and building dynamic partnerships to accelerate the Great Commission, our founder and president successfully led both for-profit and nonprofit organizations. Formerly a dot-com executive, the president of a telecommunications company, and the director of a publicly traded NASDAQ company, he is uniquely qualified to lead ISM’s global mission.</div><div><br>Soundly built on the foundation of God’s infallible Word and unprecedented technological advancements, ISM develops systems to deliver unhindered access to Bible content in a comprehensive “preach” and “teach” format so every person can know Christ in their language. ISM is pursuing unhindered access to the Bible and its life-transforming truth so every person can know Christ. Its ministry model now spans RadioBase, hybrid FM/HD broadcasting, digital Bible apps, web-based Scripture access, multilingual publishing, partner-supported outreach, and emerging technology-enabled delivery.</div><div><br>The organization is operating at a meaningful scale and complexity, including multi-million-dollar annual revenue, expanding radio footprint, significant digital distribution, growing publishing output, and a blended workforce of employees plus strategic partners. Its data landscape reflects that global mission: Bible and teaching content across hundreds of languages and digital endpoints; anonymous and known users; customers, supporters, and donors; campaigns and communications; publishing, commerce, and fulfillment; radio and streaming; and a growing international partner network.</div><div><br></div><div><strong>WHO WE LOOK FOR:&nbsp;</strong></div><ul><li>Great Communicators: You are comfortable sharing written and verbal ideas openly with a team and can appropriately adapt them to varying audiences.</li><li>Adaptable to New Technology: You learn unfamiliar platforms quickly and evaluate technology based on its usefulness, reliability, and fit for the mission.</li><li>Collaborative Problem Solvers: You love to analyze problems and identify ideas for great solutions alongside a skilled team.</li><li>Courageous Listeners: You find joy in approaching situations with empathy and understanding, providing support.</li><li>Good Teachers: You can break down complex concepts and guide others to follow you through simple procedures.</li><li>Optimistic Adapters: You are a “glass-half-full” kind of person who exemplifies optimism, humility, innovation, and excellence in all you do!</li><li>Thoughtful Data Stewards: You treat user, customer, supporter, donor, and partner data as entrusted information. You value clear definitions, reproducible work, appropriate access, and privacy-conscious design.</li><li>Pragmatic Builders: You balance speed, quality, maintainability, cost, and ministry value. You favor durable, well-documented solutions over fragile one-off workarounds.</li></ul><div><strong><br>POSITION AVAILABLE&nbsp;</strong></div><div><strong><br>BUSINESS INTELLIGENCE &amp; DATA ANALYTICS SPECIALIST</strong></div><div><br>International Scripture Ministries is seeking a mission-driven <strong>Business Intelligence &amp; Data Analytics Specialist</strong> to help transform data into meaningful insights that strengthen ministry effectiveness and support executive decision-making.</div><div><br>The Business Intelligence &amp; Data Analytics Specialist is responsible for developing and maintaining ISM's business intelligence environment by ensuring accurate, reliable data, building scalable reporting solutions, and delivering actionable insights that support organizational growth and strategic decision-making.</div><div><br>This hands-on role combines business intelligence, analytics, data stewardship, and automation to improve reporting, strengthen operational efficiency, and help leadership make informed, data-driven decisions.</div><div><br>At ISM, data connects the full ministry journey: how people discover Scripture and teaching content; engage through apps, websites, radio, streaming, print, events, and partner channels; become known users, customers, supporters, or donors; receive or purchase Bible resources; deepen their engagement; and help advance the mission. This role will help create a trusted view across content, audience, campaign, donor, financial, partner, and distribution data so ISM can steward resources wisely and expand access to Scripture worldwide.</div><div><br>ISM values both analytical rigor and humility. This position will help define meaningful indicators of reach, response, engagement, and stewardship without overstating what data can prove about spiritual outcomes.</div><div><br>This is a builder-and-steward opportunity at the intersection of analytics, data platforms, marketing technology, and ministry operations. ISM's evolving environment includes Google BigQuery, Segment, Braze, GA4/Firebase, GTM and server-side GTM, Power BI, Looker Studio, Grafana, Stripe, APIs, content and publishing systems, donor and CRM systems, and data from digital media, distribution, and other external sources. Platforms may evolve; strong data fundamentals, sound judgment, and the ability to learn systems quickly matter more than prior experience with every named tool.<br><br></div><div>Within an agreed data roadmap, this role owns the delivery and stewardship of prioritized analytics products—including curated datasets, shared metric definitions, dashboards, analyses, documentation, and quality controls. The Specialist serves and equips the teams responsible for ISM's ministry initiatives, apps and platforms, radio, communications and publishing, donor development, finance, and operations. The role partners with those teams, along with platform owners, developers, source-system owners, vendors, contractors, and other external partners, to translate their goals into reliable measurement and decision support.<br><strong><br>TO APPLY</strong>:&nbsp;</div><div>To be considered for this position, please submit the following to <a href="mailto:careers@ISM.Bible">careers@ISM.Bible</a>:&nbsp;</div><ul><li>A current resume&nbsp;</li><li>A cover letter describing your interest in the position and relevant experience&nbsp;</li><li>A personal Statement of Faith that shares your relationship with Jesus Christ, your understanding of the Gospel, and how your faith is lived out in your daily life and work</li></ul><div><br>As a Christian ministry, International Scripture Ministries is committed to advancing the Gospel of Jesus Christ. We seek team members who have a personal relationship with Jesus Christ and are in agreement with our mission, values, and Statement of Faith. Applicants should be prepared to affirm their Christian faith and support the ministry's biblical mission.</div><div><br></div><div><strong>LOCATION &amp; WORK ARRANGEMENT</strong>&nbsp;</div><div>This is a hybrid position based in either ISM’s Albuquerque, New Mexico, or Nashville, Tennessee office. Employees in this role are generally expected to work in the office three (3) days per week and may work remotely up to two (2) days per week, subject to supervisor approval and ministry needs. Hybrid work arrangements are not guaranteed and may be adjusted based on staffing, team, or operational needs.</div><div><br></div><div><strong>Work Expectations and Exempt Status&nbsp;</strong></div><div>This position is classified as <strong>full-time, salaried, exempt</strong> under applicable federal and state wage and hour laws. As an exempt role, performance is evaluated based on outcomes, stewardship of responsibilities, and the successful execution of objectives, rather than hours worked.&nbsp;</div><div><br>While this role generally aligns with ISM’s standard business hours, it may require <strong>occasional evening work or additional time to meet deadlines</strong>, particularly during campaign launches, ministry initiatives, or time-sensitive communications. These expectations are inherent in a professional exempt position.</div><div><br>ISM values healthy rhythms and sustainability. Occasional extended hours are balanced with <strong>reasonable flexibility in scheduling</strong> to support long-term effectiveness and well-being.</div><div><br>This role requires the regular exercise of <strong>independent judgment, prioritization, discretion, and decision-making authority</strong>, particularly in managing workflows, systems, and execution strategies aligned with ministry goals.</div><div><strong><br>WHAT SUCCESS LOOKS LIKE&nbsp;</strong></div><ul><li>Leaders use timely, trusted dashboards and decision tools supported by shared KPI definitions and clear source-to-report lineage.</li><li>Priority content, user, customer, donor, campaign, financial, and Bible-distribution data is consistently modeled, documented, monitored, and reconciled in BigQuery.</li><li>ISM can measure priority journeys more consistently across content discovery, Scripture engagement, communications, purchasing or giving, and ongoing ministry relationships—while clearly communicating what the data can and cannot prove.</li><li>Campaign and channel decisions are supported by a practical, transparent omnichannel attribution framework rather than conflicting platform reports or vanity metrics.</li><li>Important data issues are detected early through automated validation and monitoring, then resolved at the source whenever possible.</li><li>Ministry teams spend less time assembling or reconciling reports and more time using insight to decide which languages, content, audiences, and channels to serve and scale.<br><br></li></ul><div><strong>RESPONSIBILITIES&nbsp;</strong></div><ul><li>Develop, maintain, and optimize executive dashboards, KPI reporting, curated analytical datasets, semantic models, and business intelligence solutions.</li><li>Help establish BigQuery as ISM's governed analytical hub by building, monitoring, and documenting models and workflows that connect audience, content, campaign, donor, financial, partner, commerce, and distribution data through SQL, APIs, and approved BI and automation tools.</li><li>Ensure data accuracy through stewardship, validation, reconciliation, deduplication, backfills, freshness and schema monitoring, and automated quality checks; work with source-system owners to resolve root causes rather than repeatedly correcting symptoms.</li><li>Develop shared definitions and entity models for content, language, country, endpoint, campaign, anonymous and known users, customers, supporters, donors, partners, products, and transactions, while preserving the boundaries and lineage of operational and analytical systems of record.</li><li>Establish and govern measurement standards, including event taxonomies, naming conventions, campaign IDs, UTMs, content and endpoint IDs, conversion definitions, attribution windows, and source-system documentation.</li><li>Analyze first-party and omnichannel data across the journey from campaign or referral through visit or install, Scripture interaction, repeat engagement, sign-up, purchase, partnership, or donation. Develop practical attribution and, where feasible, incrementality approaches across paid, owned, partner, digital, broadcast, print, event, QR/NFC, and other offline touchpoints, documenting assumptions and limitations.</li><li>Reconcile platform-reported reach and engagement with ISM's source-of-truth outcomes, helping leaders distinguish activity from meaningful results such as retained engagement, completed Bible purchases or distribution, donor acquisition and retention, and cost per outcome.</li><li>Support reliable audience activation and lifecycle measurement in Braze or comparable customer-engagement tools by validating profiles, events, attributes, consent and contactability states, segments, suppressions, and conversion data flowing into and out of the analytics environment.</li><li>Serve as an analytics partner to the teams driving each area of ISM's mission by translating their goals and operational questions into data requirements, shared measures, dashboards, analysis, and actionable recommendations.</li><li>Coordinate with platform owners, developers, source-system owners, vendors, contractors, and distribution partners to verify access and implementations, test source-to-destination flows, and maintain clear ownership and accountability.</li><li>Build reporting across ministry reach, content discovery and consumption, engagement and retention cohorts, anonymous-to-known conversion, geographic and language reach, campaign effectiveness, customer activity, donor acquisition and lifetime value, partner enablement, and responsible cost and resource stewardship.</li><li>Perform root cause analysis, challenge misleading or incomplete metrics, and translate complex findings into clear recommendations, opportunities, risks, and process improvements for leaders.</li><li>Promote governed self-service reporting through data dictionaries, metric definitions, lineage, refresh expectations, dashboard guidance, and training for nontechnical colleagues.</li><li>Help operationalize responsible data governance, including role-based access, privacy, consent, retention, data minimization, secure handling of sensitive first-party data, and appropriate use across countries and regions.</li><li>Prefer standards-based, native, and maintainable integration patterns; assess reliability, cost, and long-term ownership before introducing new data workflows or vendor dependencies.</li><li>Evaluate and responsibly apply automation, AI-assisted analytics, forecasting, anomaly detection, and machine learning where they solve a defined ministry or business problem and can be validated, documented, and reviewed by people.</li><li>Help teams confidently interpret and apply accurate, timely, and meaningful business insights while preserving shared definitions and a ministry-wide view of performance.</li></ul><div><strong><br>REQUIREMENTS&nbsp;</strong></div><ul><li>Devoted follower of Jesus Christ, fully aligned with the mission, vision, and beliefs of International Scripture Ministries.</li><li>Minimum of three years of experience in data analysis, business intelligence, reporting, analytics, data operations, or a related field.</li><li>Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Business Analytics, or a related field, or equivalent experience.</li><li>Advanced SQL proficiency and hands-on experience with Google BigQuery or a comparable cloud data warehouse, with the ability to become productive quickly in ISM's environment.</li><li>Proficiency with Power BI and advanced Excel; experience with Looker Studio, Grafana, or another modern BI platform is also valued.</li><li>Experience developing executive dashboards, KPI reporting, analytics-ready data models, and business intelligence solutions.</li><li>Experience designing or supporting repeatable ETL/ELT workflows, data integrations, and APIs, with strong practices for validation, reconciliation, monitoring, and documentation.</li><li>Practical understanding of analytical or dimensional data modeling, KPI definition, data quality, and governed self-service reporting.</li><li>Ability to translate ambiguous ministry or business questions into measurable definitions, defensible analysis, and practical recommendations.</li><li>Demonstrated care in handling personal, customer, supporter, donor, and user data, including a working understanding of privacy, consent, secure access, and responsible first-party data use.</li><li>Strong analytical, problem-solving, project-management, and communication skills, with the ability to explain technical concepts and tradeoffs to nontechnical audiences and collaborate effectively with internal teams and external partners.</li></ul><div><strong><br>PREFERRED EXPERIENCE&nbsp;</strong></div><ul><li>Proficiency in Python, R, or another language used for data analysis and automation, including responsible application of AI-assisted analytics, forecasting, anomaly detection, or experimentation.</li><li>Segment CDP; Braze or another lifecycle/customer-engagement platform; GA4/Firebase; GTM or server-side GTM; or comparable mar-tech tools.</li><li>ETL/ELT processes, cloud-based data platforms, dimensional modeling, semantic layers, automated data testing, version-controlled analytics workflows, or transformation frameworks such as dbt.</li><li>Omnichannel marketing analytics, first-party data strategy, identity resolution, audience activation, attribution, controlled experiments, or incrementality measurement.</li><li>Experience with donor management or CRM platforms, digital analytics tools, payment and commerce systems such as Stripe, content or publishing systems, or financial reporting systems—including reconciliation of people, household, organization, transaction, and engagement data across legacy and modern systems.</li><li>Experience with multilingual or international datasets, digital content, mobile and web applications, publishing, broadcast, streaming, e-commerce, fulfillment, or partner-delivered data.</li><li>Experience working across in-house teams and external agencies, developers, vendors, or integration partners with varying levels of technical maturity.</li><li>Experience working in a nonprofit, ministry, or mission-driven organization.</li></ul><div><strong><br>ISM BENEFITS&nbsp;</strong></div><div>ISM offers generous Paid Time Off, Medical, Dental, and Vision Coverage, as well as health incentives, reimbursements, and education benefits.</div><div><strong><br>Paid Time Off:</strong> Full-time employees are eligible to receive 40 hours every four (4) months up to 120 hours a year. After three (3) years of employment, an additional one (1) week of vacation will be available for a total of 160 hours per year.</div><div><strong><br>Medical, Dental, and Vision (HMO/PPO):</strong> The Ministry pays for (99%) of the employee’s premium. Spouse and/or dependent insurance options are available.</div><div><strong><br>Education Benefit:</strong> To encourage ongoing education, all full-time employees are eligible for an education credit/reimbursement.</div><div><strong><br>Cell Phone Reimbursement:</strong> Full-time employees will be reimbursed for using personal phones for ministry business up to $60 monthly.</div><div><strong><br>Community Volunteerism:</strong> We encourage our employees to be involved in the local area, lending their voluntary support to programs that positively impact the quality of life in the community. We offer up to eight (8) hours of paid time each quarter for volunteerism.</div><div><strong><br>Health Incentive:</strong> Full-time employees receive a $50 monthly reimbursement for fitness classes and/or gym memberships.</div><div><br></div>

Business Intelligence & Data Analytics Specialist

<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>

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