Beginning of the main content section.Return to the home pagePrintable Format Job Description - Field Data Supervisor, LOSHAK, Population Health (260001PD)<h1>Job Description</h1> Field Data Supervisor, LOSHAK, Population Health - (260001PD)<h2> </h2>Field Data SupervisorDepartment: Population HealthDivision: Medical CollegeLocation: Nairobi, KenyaProject OverviewThe Longitudinal Study of Health and Ageing in Kenya (LOSHAK) is a major research collaboration between the Aga Khan University in Nairobi and the University of Michigan, involving multiple Kenyan and international partners including Kenya's Ministry of Health and Kenya National Bureau of Statistics. Funded by the U.S. National Institute on Health, this project will collect multi-modal data (surveys, biological measures, mobile health assessments, etc.) from 8,955 older Kenyans, examining nearly all aspects of their physical, cognitive, psychosocial, and economic well-being.Role SummaryThe LOSHAK Field Data Supervisor will support electronic data collection and device-based measurements. The position is responsible for managing CAPI systems, field tablets, paradata monitoring, bio sample data workflows, and device-based data collection including UPAS V2+ air quality monitoring devices and Actigraph devices. The role ensures that field data systems and monitoring devices are properly deployed, maintained, and integrated with survey workflows while supporting real-time monitoring of data completeness, quality, in compliance to the study protocol and Kenya Data Protection Act, 2019.Key ResponsibilitiesCapi system management In collaboration with the Data Manager, configure and maintain electronic data collection platforms (Survey CTO/ODK/REDCap / Blaise); deploy instruments to devices (tablets and /or laptops); and manage questionnaire version control.Tablet and field equipment management <ul><li>Prepare, distribute and maintain devices (laptops and or tablets) and accessories; troubleshoot hardware/software issues; maintain equipment inventory and asset tracking.</li><li>Device-based data collection support</li><li>Support deployment and monitoring of UPAS V2+ air quality monitoring devices and Actigraph devices; ensure proper installation, calibration and retrieval according to protocol.</li></ul>Data synchronization and management <ul><li>Monitor daily synchronization of survey and device data; ensure secure transfer to central servers; resolve upload errors.</li></ul>Paradata monitoring and field data quality <ul><li>Monitor timestamps, GPS coordinates, interview duration and submission patterns; generate data quality reports and flag protocol deviations that shall be resolved by the relevant data and technology infrastructure technical working group</li></ul>Bio-marker sampling support <ul><li>Support the collection process of dried blood spots (DBS) and physiological measures (anthropometry, blood pressure, pulse rate, grip strength) by ensuring proper device functionality and data recording, unique bar code identification and labelling are captured</li></ul>Informed consent process support<ul><li>Assist in ensuring complete and proper administration of informed consent for all stages of data collection.</li></ul>Data cleaning and validation support<ul><li>Assist the Data Manager in implementing pre-programmed filters and validation rules in electronic forms; contribute to real-time data checking and error reporting.</li></ul>Technical support to field teams <ul><li>Provide technical assistance to enumerators on tablets, CAPI tools and monitoring devices; troubleshoot issues during fieldwork.</li></ul>Training and capacity building <ul><li>Support training of enumerators and supervisors on electronic data collection systems, device deployment and handling and data quality procedures.</li></ul>Documentation and reporting<ul><li>Maintain documentation of device deployment, system configuration and data quality checks; report technical issues to supervisors.</li></ul><h2> </h2>Required Qualifications<ul><li>Bachelor’s degree in statistics, data science, public health computer science, information systems, or a related field.</li></ul>Relevant Experience<ul><li>At least 3 years of experience supporting electronic data collection systems for field research.</li><li>Experience in training field staff on data collection tools and protocols.</li><li>Experience with CAPI platforms such as ODK, SurveyCTO, REDCap or CSPro.</li><li>Experience managing laptops, tablets and digital field equipment.</li><li>Familiarity with environmental monitoring and wearable devices is an advantage.</li><li>Experience working in LMICs context and research and academia fields.</li><li>Knowledge and experience in data management and quality control procedures in large-scale health or social science studies.</li><li>Familiarity with ethical considerations and informed consent processes in research.</li><li>Experience with data security and confidentiality protocols.</li></ul>Personal Characteristics &amp; Behaviours<ul><li>Strong problem-solving skills, analytical and attention to detail</li><li>Ability to provide technical support and training to field teams</li><li>Strong communication and teamwork skills.</li><li>Proactive in identifying and addressing potential data quality issues.</li><li>Adaptability and flexibility to respond to unforeseen challenges during fieldwork.</li><li>Cultural sensitivity and ability to interact effectively with diverse community members.</li></ul><h2>Primary Location</h2> : Kenya<h2>Organisation</h2> : Aga Khan University Hospital Kenya<h2>Employee Status</h2> : Regular<h2>Job Type</h2> : Standard<h2>Job Posting</h2> : 29/04/2026, 9:00:58 AM<h2>Closing Date</h2> : 14/05/2026, 6:59:00 PM<h3> </h3>

Aga khan University

Field Data Supervisor, LOSHAK, Population Health

About SunCultureSunCulture is a leading agriculture and climate technology company. SunCulture helps smallholder farmers grow more food with climate technology, carbon financing, and a digital marketplace, and is the largest solar irrigation company in Africa. The company was selected by the World Economic Forum as a Technology Pioneer, and has been named as one of the World's Most Innovative Companies by Fast Company. Our CEO was also just named to the TIME100 Climate list. To learn more about the company, see this TED Talk one of our customers did, this explainer video recently made by CNBC, or listen to this podcast our CEO recently did. About the RoleThe Senior Data Scientist is a visionary leader driving AI and data science innovation at SunCulture, championing the development of an AI-led self-service data platform to transform how teams access and leverage data. With a mastery of machine learning, generative AI, and data science methodologies, this role delivers immediate business value through cutting-edge solutions. Fueled by curiosity, innovation, and a strong sense of ownership, the Senior Data Scientist proactively identifies opportunities, leads proof-of-concept (POC) initiatives to test hypotheses, and collaborates with the Head of Data to unlock transformative efficiencies across operations in Kenya, Uganda, and Côte d'Ivoire. This role owns critical ML models like Credit Scoring, ensures ethical AI practices, and drives predictive analytics to enhance revenue, credit decisions, collections, and marketing. Key Responsibilities<ul><li>AI and Data Science Leadership: Own the end-to-end lifecycle of AI/ML projects, from ideation and business scoping to prototyping, model packaging (e.g., via Docker), and deployment with DevOps, ensuring seamless integration into production environments.</li><li>Predictive Analytics and Model Ownership: Own and enhance critical ML models, such as the Credit Scoring model, by continuously monitoring performance, ensuring high accuracy, and implementing improvements to boost predictive power and reliability. Develop data-driven predictive models to unlock revenue growth, enable smarter credit decisions, strengthen collections, and optimize marketing strategies, addressing business challenges and driving operational efficiency through innovative automation.</li><li>Champion AI-Led Self-Service Data Platform: Spearhead the development and adoption of an AI-driven self-service data platform, leveraging generative AI, AI agents, and LLMs to automate tasks, streamline workflows, and empower teams to access insights independently.</li><li>Drive Innovation through POCs: Proactively design and execute POCs using AI to test hypotheses, validate business use cases, and develop new models to address user needs or simplify processes through automation, collaborating with the Head of Data to align with strategic goals.</li><li>Business Process Optimization: Partner with business teams (via the Data Business Partner) to identify repetitive, decision-heavy, or complex tasks, applying predictive models or AI-driven automation to optimize processes and deliver measurable value.</li><li>MLOps and AI Governance: Collaborate with Data Engineers and DevOps to build robust ML pipelines, ensuring model monitoring, versioning, and reliability. Maintain AI fairness, performance, and compliance, particularly for region-specific use cases like credit scoring or customer segmentation, adhering to local regulations (e.g., Kenya’s Data Protection Act).</li><li>Cross-Functional Collaboration: Work with department heads and stakeholders to understand challenges and align AI-driven solutions with strategic objectives, fostering trust through clear communication and impactful deliverables</li><li>Continuous Improvement: Driven by curiosity and innovation, identify and implement enhancements to data science processes, model accuracy, and analytics workflows (e.g., streamlined data extraction or optimized algorithms). Take ownership of initiatives, ensuring follow-through to completion and delivering solutions that enhance efficiency and data trust.</li><li>Ad Hoc Support: Address occasional ad hoc requests, such as building one-off dashboards or data extracts, to support the Business Intelligence team with timely, accurate solutions.</li></ul> Does this sound like you?<ul><li>Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field.</li><li>Minimum of 5 years of hands-on experience developing and deploying data science or AI/ML solutions in a business setting, with a proven track record in AI strategy and implementation.</li><li>Demonstrated expertise in designing, prototyping, and deploying machine learning models, including generative AI applications and critical models like Credit Scoring.</li><li>Strong interpersonal and communication skills, with the ability to translate complex AI solutions into clear business value for non-technical stakeholders.</li><li>Strategic thinker with an innovative mindset, driven by curiosity to uncover new opportunities through self-discovery and a strong sense of ownership to ensure high-quality outcomes.</li><li>Creative problem-solver who thrives in dynamic environments, prioritizes efficiency, and goes above and beyond to propose and implement innovative solutions.</li></ul> Required Skills<ul><li>Data Science &amp; Machine Learning: Proficiency in Python and ML frameworks for developing and deploying machine learning algorithms that drive business value.</li><li>Generative AI &amp; LLMs: Expertise in applying generative AI and large language models to create innovative applications, automate tasks, and enhance self-service data platforms.</li><li>SQL Expertise: Strong skills in SQL for data manipulation, querying, and analytics in relational databases and data warehouses (e.g., ClickHouse).</li><li>MLOps and Deployment: Proficiency in MLOps tools (e.g., MLflow, Kubeflow) and Docker for packaging ML applications; experience with cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) and CI/CD pipelines (e.g., GitHub Actions).</li><li>Version Control and Deployment: Proficiency in Git/GitHub for collaborative development and Docker for containerizing data applications.</li><li>Prototyping Tools: Experience with front-end prototyping tools (e.g., Streamlit, Gradio) for rapid demo development.</li><li>Collaboration and Communication: Exceptional ability to align AI initiatives with business goals and communicate complex solutions to diverse stakeholders.</li><li>BI Tools: Familiarity with BI tools (e.g., Power BI, Tableau, Amazon QuickSight) for supporting analytics and visualization needs.</li></ul> Interested?Please apply online via this job portal. We respond to all candidates; however only shortlisted candidates will be interviewed.

SunCulture Kenya

Senior Data Scientist

<h2>Job Purpose</h2>The Senior Officer, Liquidity Management and Data Analysis, Financial Institutions Operations provides efficient and effective high-quality services, in line with laid down procedures and guidelines to contribute as appropriate to the performance of the Bank’s objective of Banker to financial institutions and ensuring a stable financial system.<h2>Key Duties and Responsibilities</h2>Strategic ResponsibilitiesContribute as appropriate to the performance of the function and the overall achievement of the Bank’s strategic objectives. Technical and Operational Responsibilities1.	Provide efficient and effective customer care.2.	Monitor daily drawdown and reversal of Intraday Liquidity Facilities (ILFs) DhowCSD and KepssRTGS Systems. 3.	Verify details of CBK Overnight Lending to commercial banks (Lender of last resort/Discount Window) in DhowCSD System.4.	Effect changes to the CBK Discount Window rate in the systems as per MPC releases. 5.	Update the Central Bank Rate (CBR) and the CBK Discount Window on the Central Bank website.6.	Generate reports to monitor compliance with Cash Reserve Ratio (CRR) requirements by Commercial Banks and Microfinance Banks.7.	Input details or provide first level approval of charges and penalties levied on Commercial Banks. 8.	Provide first level approval for funds transfer transactions from other sections in Banking Divisions. 9.	Monitor liquidity flows among the KEPSS/RTGS participants.10.	Generate reports for presentation at the MPMC meetings. 11.	Participate in MPMC activities and provision of information on Banking Operations.12.	Implement MPC decisions affecting Banking Divisions.13.	Respond to correspondence/customer queries through various channels such as emails, telephone calls, and letters.14.	Escalate issues, queries and complaints from customers that may need further consultation. 15.	File transactions documents. 16.	Implement audit recommendations.17.	Provide input into the systems requirements during implementation of systems. 18.	Participate as inputter or first level approver in the testing of systems that affect Banking functions. Other Responsibilities1.	Audit tellers cash tills at the close of business.2.	Assist in preparation of the Banking Strategic Plan.3.	Assist in preparation of yearly budget for Financial Institutions Operations Section.4.	Provide information for input into the Training Plan. 5.	Maintain working relationships with appropriate external parties including Government. departments, County Governments, commercial banks and other financial institutions.6.	Comply with the Bank policies, procedures, guidelines and internal controls.7.	Perform any other task as may be assigned from time to time.<h2>Qualifications</h2>1.	Bachelor’s Degree in Economics, Banking, Accounting, Finance, Business Administration, Mathematics, Computer Science or related field of study.2.	Professional qualification in Banking, Accounting, Finance, Risk Management, or related field of study is an added advantage.<h2>Work Experience</h2>Not less than three (3) years’ work experience in Banking Operations, Financial Services, Economics, Accounting or similar operations.<h2>Competencies</h2>Technical Competencies1.	Knowledge of Banking laws and regulations.2.	Knowledge of Banking operations.3.	Accounting and financial management skills.4.	Customer care skills.5.	Change management skills.6.	Knowledge of Public Finance Management Act and regulations.7.	Knowledge of KepssRTGS and EAPS rules and procedures.8.	Knowledge of SWIFT messages formats.9.	Knowledge of core banking system.10.	Knowledge of the Government Securities operations and DhowCSD functions.11.	Oral and written communication skills- ability to communicate clearly, simply and in a structured manner; and to use communication tools appropriately and effectively. 12.	Computer proficiency and knowledge of banking systems. 13.	Clear understanding of economics, banking and relevant emerging issues in financial services management, Government operations and laws.14.	Risk management- ability to identify risks and develop mitigating measures. General and Behavioural Competencies1.	Collaboration and teamwork - Ability to work collaboratively within a group of staff.2.	Quality orientation - Ability to perform tasks accurately. Adopt a disciplined approach to work and drive for closure, results, and success.3.	Communication &amp; information sharing -Ability to express information clearly and succinctly, orally and in writing, considering the audience and the nature of the information.4.	Professionalism, work ethic &amp; integrity - Ability to convey a high level of excellence and competence on delivery of duty. 5.	Accountability and professional development – Ability to take and accept responsibility and outcome thereof openly and transparently.6.	Creativity and innovation - Proactively identify ways or resources through which work situations/processes can be continuously improved.7.	Customer focus - Ability to demonstrate concern for the expectations of customers and prioritize them as well as convey realistic expectations to both internal and external customers.8.	Emotional Intelligence - Manages emotions in a mature and composed manner as expected of a leader.Candidates are requested to note that:<ul><li>INCOMPLETE applications will not be considered.</li><li>Only shortlisted candidates will be contacted.</li></ul>

Central Bank of Kenya

Senior Officer, Liquidity Management and Data Analysis

<h2>Job Purpose</h2>The job holder is responsible for the collection and analysis of the performance and health of payment systems in Kenya.<h2>Key Duties and Responsibilities</h2>Technical and Operational Responsibilities1.	Review and design NPS returns templates.2.	Ensure timely submission of NPS returns.3.	Implement an integrated information system for electronic submission of NPS returns. 4.	Ensure that data received is processed and required standard reports generated. 5.	Design and produce periodic standard analytical reports. 6.	Perform analysis and verification of Payment data. 7.	Update the statistics on the CBK website.8.	Interpret data, analyze results using statistical techniques and provide ongoing reports.9.	Develop and implement a payment system database, a data collection system, data analytics and other strategies that optimize statistical efficiency and quality.10.	Acquire data from primary or secondary data sources to enhance the payment systems information.11.	Identify, analyze, and interpret trends or patterns in complex data sets.12.	Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct data errors.13.	Work with management to prioritize business and information needs.14.	Locate and define new process improvement opportunities.15.	Draft research papers and basic reports on the analysis of the data collected.16.	Perform any other duties as assigned by the Manager.<h2>Qualifications</h2>1.	Bachelor’s Degree in a relevant field e.g. Mathematics, Economics or Statistics.2.	Professional qualifications and memberships are an added advantage.<h2>Work Experience</h2>At least two (2) years’ experience in Payments and Banking operations or other related area.<h2>Competencies</h2>Technical Competencies1.	Proven working experience as a data analyst or business data analyst.2.	Strong knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)3.	Adept at queries, report writing and presenting findings.4.	Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources5.	Strong SQL skills, ability to perform effective querying involving multiple tables and sub-queries.6.	Understanding of and experience using analytical concepts and statistical techniques- hypothesis development, designing tests, analysing data and drawing conclusions7.	Demonstrated experience building and leading quantitative analyses as well experience building response and risk models. 8.	Knowledge and understanding of Banking laws and regulations.9.	Good understanding of Central Banking operations10.	Knowledge and understanding of economic issues both local and international.11.	Advanced IT skills 12.	Experience working with large data sets and advanced analytical tools, programs, and systems. 13.	Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Behavioral/ General Competencies1.	Planning and organization - Ability to organize work, set priorities, and determine resource requirements; determine short or long-term goals and strategies to achieve them; coordinate with other stakeholders or part of the organization to accomplish goals.2.	Quality orientation - Ability to check work to ensure accuracy. Adopt a disciplined approach to work and drive for closure, results, and success.3.	Communication and information sharing -Ability to express information clearly and succinctly, orally and in writing, considering the audience and the nature of the information.4.	Professionalism, work ethic and integrity - Ability to convey a high level of excellence and competence on delivery of duty. 5.	Collaboration and teamwork - Ability to work collaboratively within a group of people to achieve a common goal. Support team members to take decisions independently and take the lead in their area of expertise.6.	Accountability and professional development – Ability to take and accept responsibility and outcome thereof in an open and transparent manner.7.	Customer focus - Ability to demonstrate concern for the expectations of customers and prioritize them as well as convey realistic expectations to both internal and external customers.8.	Resilience - Ability to withstand operational challenges and maintain momentum.9.	Decision making - the ability to make better decisions, as defined by decision-making principles posited by models of rational choice.10.	Emotional Intelligence -manages emotions in a mature and composed manner as expected of staff.11.	Analytical –highly analytical and ability to challenge status quo based on quantitative facts and impacts.12.	Governance- knowledge and ability to ensure good governance practices.13.	Digital mind-set - Ability to recognize the importance and impact of technology on the ways of working and integrate technology in the day-to-day job to achieve efficiency, quality, and productivity in the function.14.	Creativity and innovation - Promote an environment that encourages creative thinking, and innovation within the ambits of existing rules/guidelines.Candidates are requested to note that:<ul><li>INCOMPLETE applications will not be considered.</li><li>Only shortlisted candidates will be contacted.</li></ul>

Business Analyst 1, Data Analysis (Business Analyst 1)

KEY RESPONSIBILITIES: <ul><li>Constantly monitor real time queues to identify high risk/unauthorized/fraudulent transactions, and institute prompt mitigating action, including instituting appropriate hold (restriction) on accounts identified as having potentially fraudulent issues.</li><li>Reviewing and providing resolutions to queued transactions within the defined SLAs to reduce potential revenue losses, as well as checking daily reports and compromise alerts to track and prevent fraud.</li><li>Undertake research on fraud patterns by tracking confirmed fraudulent transactions and identification of trends from resolved cases and develop rules in the FMS to facilitate fraud prevention and detection, as well as recommend changes to fraud detection system parameters to optimize fraud detection while minimizing negative customer impact.</li><li>Contact customers, banks &amp; Telcos by phone and email to verify transactions and resolve fraud-related account issues, and where fraud is confirmed, create a case in the Case Management system to initiate investigations and dispute management process.</li><li>Study market, industry and environmental trends in frauds to identify emerging fraud patterns and provide these insights to investigators and senior managers for embedding in the Bank’s overall fraud mitigation strategies.</li><li>Undertake Fraud awareness to facilitate appropriate understanding of fraud prevention and detection across the Bank network.</li><li>Prepare periodic summaries of fraud trends as appreciated from the fraud management system and related industry sources to enhance fraud management across the Bank.</li><li>Conduct initial analysis of suspected fraud cases reported, and appropriately escalating them for investigations, as well as providing support to the investigators during investigations.</li><li>Undertake Fraud Risk Assessments on identified risk areas and issue reports with recommendations as appropriate.</li><li>Intelligence gathering on fraud or planned frauds and taking mitigating actions within set timelines, liaison with law enforcement agencies in respect of matters under investigations and attending court to give evidence.</li><li>Stakeholder engagement (both internal and external) to resolve any issues and/or share insights for purposes of fraud management generally.</li></ul> MINIMUM POSITION QUALIFICATION REQUIREMENTS<ol><li>Academic &amp; Professional</li></ol>Particulars Detail Specific Field or Qualification Need Type[1]Education Bachelor’s Degree Bachelor’s degree from a recognized university.RQ Professional Qualifications Forensics/Ethical Hacking/Fraud Management/Data Analysis/Data Science/any relevant areaAA <ol><li>Experience</li></ol> Total years of work experience5DetailMinimum No of YearsNeed Type[2] Fraud Prevention and Detection in Banking / Financial Services5ES Analytical techniques (Linear, Regression, Clustering Techniques, Neural Network, Decision Trees etc).3DE Banking Operations3ES Automated Fraud Management Systems1ES Digital Forensics1ES Stakeholder Management2ES Criminal Litigation1DE [1] Need Types are : RQ = Required, AA = Added Advantage [2] Need Types are: ES = Essential, DE = Desirable but not Essential

KCB Bank

Fraud Analyst

<h2>Key Responsibilities:</h2><ul><li>Conduct routine data quality/control audit controls on study generated data.</li><li>Perform data quality and control procedures.</li><li>Compile data, clean, transcribe onto database and submit data reports to research investigators.</li><li>Coordination of various ancillary studies on site</li><li>Preparing daily and weekly reports</li><li>Installing and configuring computer hardware, software systems, networks, printers, and scanners.</li><li>Ensure technology is accessible and equipped with current hardware and software.</li><li>Trouble shoots all technology issues including hardware, software, and network operating system.</li><li>Designing, improving, and updating live databases for long term data storage and back-ups.</li><li>Scanning and filing of records, archive systems in accordance with department procedures.</li><li>Provide training and orientation to new users and staff on various technologies.</li><li>Training staff on guidelines, policies, and procedures.</li><li>Any other duties as maybe assigned by the Supervisor.</li></ul><h2>Vacancy Requirements:</h2># Description. Requirement Type 1 Bachelor’s Degree in Computer Science, Mathematics, Statistics, or a related field(s) connected to data management studies plus years of relevant experience. Mandatory 2 Professional certification in courses on analytic skills and database management. Mandatory 3 Data management and a well rooted individual in statistical analysis skills. Mandatory 4 Good communication skills- both written and oral. Mandatory 5 Skills in database development. Mandatory

KEMRI

Data Officer

About BURN Headquartered in Nairobi, Kenya, BURN is Africa’s leading clean cooking company and one of the only carbon project developers to cover the full carbon value chain, from project design and in-house monitoring to credit issuance. The company operates across 11 African countries, employing 3,000+ people. To date, BURN's efficient stoves have generated 9.5M Gold Standard credits, reduced indoor air pollution by 65-100%, and protected forests by saving over 16M tons of wood. Learn more at burnstoves.com Since 2011, the company has sold over 6.3+ million clean cooking appliances and currently operates in 14 African countries, with production facilities in Kenya, Nigeria, Tanzania, and Malawi. These stoves have helped 32.5 million beneficiaries save over $2.3B in fuel expenditures and 36.5 million tons of wood while reducing indoor air pollution by 65%. About the roleBURN is seeking a Quality Analyst Intern to support the Quality team in ensuring accurate data collection, analysis, and reporting across production processes. The role involves assisting in tracking quality trends, preparing weekly and monthly reports, and supporting root cause analysis by providing reliable data insights. The intern will also help identify defects, escalate quality concerns, and contribute to continuous improvement initiatives within the organization. Duties and Responsibilities <ul><li>Assist in collecting, validating, and analysing quality processes data and provide feedback.</li><li>Generate weekly and monthly reports with clear defect and trend summaries.</li><li>Support RCA activities by providing accurate data, Pareto analysis, and other inputs required by the investigation teams.</li><li>Escalate significant quality concerns, adverse trends, and recurring defects.</li></ul>Skills and Experience<ul><li>Degree in Data Science, Applied Mathematics, Statistical Science, or related fields.</li><li>Knowledge of data analysis.</li><li>AI Enthusiast.</li><li>Basic computer skills (Excel, Word, PowerPoint)</li><li>Strong attention to detail</li><li>Willingness to learn processes.</li></ul>Qualified Female Candidates encouraged to Apply BURN does not charge a fee at any stage of the recruitment process (application, interview, meeting, processing, training, or any other fees).&nbsp;

Burn Manufacturing

Quality Analyst Intern

<h3>About One Acre Fund</h3>Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post.<h3>About the Young Professionals Program</h3>One Acre Fund’s Young Professionals Program offers high-performing African graduates meaningful internships and training opportunities at a high-performing, mission-driven organization. Our internships are paid and all interns can expect to receive substantive work assignments working on high-impact projects that support One Acre Fund's operations.When joining, interns will participate in an onboarding program and receive training on how to design and execute projects. Over the period of your internship, you will get the opportunity to work with like-minded individuals and receive learning opportunities to build strong foundations for your future career.<h3>About the Role</h3>The Global Data Analyst will use large, diverse, cross-country datasets to build foundational data products that enable better decision-making across the organization. This role will focus on creating high-quality dashboards and reports that are trusted, scalable, and widely used — in service of our mission: bigger harvests, healthier families, and richer soil for smallholder farmers.<h3>Responsibilities</h3>Build Foundational BI Data Products<ul><li>Design, build, and maintain high-impact operational reports (to run day-to-day work) and dashboards (for oversight/KPI purposes), to enable analytics across functions.</li><li>Ensure dashboards and reports are accurate, well-documented, and built for long-term sustainability.</li><li>Monitor adoption and continuously improve usability and relevance. This role is less focused on one-off data projects and more focused on building durable tools that people consistently use and trust.</li></ul>Managing Tech Service Desk Day-to-Day Operations:<ul><li>Oversee the daily operations of the tech service desk, ensuring high-quality service and efficient problem resolution.</li><li>Ensure timely escalation and resolution of issues, acting as the first point of contact for critical service desk matters.</li><li>Manage service desk workflows, track performance, and ensure proper follow-up on all service requests.</li></ul>Own department Analytical Domains and Partner with Data Engineering<ul><li>Serve as the primary analyst for the department.</li><li>Deeply understand business processes and logic within the department..</li><li>Own the full delivery of dashboards and data analytics products: make prioritization decisions, understand user needs, wireframe and design outputs, and own delivery and iteration.</li><li>Partner closely with Data Engineers to ensure business rules are embedded in the warehouse and semantic layer.</li><li>Clearly communicate data limitations and ensure metric consistency.</li><li>The goal is to ensure logic lives in the data model, not scattered across dashboards.</li></ul>Strengthen Analytical Standards Across the Global Supply Chain (GSC) Department.<ul><li>Contribute to a community of practice for embedded analysts across OAF.</li><li>Codify and uphold standards for dashboard design, documentation, governance, and metric definition.</li><li>Support the adoption of best practices in BI development and data storytelling.</li><li>Provide technical coaching and support skill development across GSC</li></ul><h3>Career Growth and Development</h3>We have a strong culture of constant learning and we deeply invest in our people. You’ll have weekly check-ins with your manager, access to mentorship and training, and regular feedback on your performance. We’ll hold career reviews every one to three months, and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and gain rewarding technical experience.<h3>Qualifications</h3>Across all roles, these are the general qualifications we look for. For this role specifically, you will have:<ul><li>2+ years of experience in data analytics or BI development.</li><li>Strong SQL skills; working knowledge of Python or R preferred.</li><li>Experience building automated data workflows and scalable dashboards in BI tools (Superset, Power BI, Dataiku preferred).</li><li>User-Centric Data Design: Proven ability to practice stakeholder empathy, moving beyond simple requirements-gathering to deeply understand the operational context of our users</li><li>Understanding of data modeling concepts and semantic layers.</li><li>Ability to translate complex business logic into clear, usable data products.</li><li>Experience with data storytelling and communicating insights to diverse audiences.</li><li>Strong writer and verbal communicator in English with the ability to create clear, concise documentation and conduct effective training sessions.</li><li>Project Management from planning, executing, and collaborating; Ability to manage cross-functional teams and liaise with multiple stakeholders.</li></ul><h3>Preferred Start Date</h3>As soon as possible<h3>Job Location</h3>Nairobi, Kenya<h3>Benefits</h3>Interns will be provided with a reasonable stipend for the duration of their contract. Rural area based fellows will be provided assistance in locating suitable housing.<h3>Eligibility</h3>This role is only open to citizens or permanent residents of Kenya.<h3>Application Deadline</h3>13 July 2026. We hire on a rolling basis which means that applications are reviewed and processed on a continuous basis until a hire is made.One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organization’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.

One Acre Fund

Global Data Analyst Intern

<h3>About One Acre Fund</h3>Founded in 2006, One Acre Fund equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, we provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by our team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. To learn more, please see our Why Work Here blog post.<h3>About the Role</h3>From R&amp;D to sales to strategy to operations, the Global R&amp;D Data Analyst has the unique opportunity to improve decision-making across all aspects of One Acre Fund’s program using many diverse data types, such as sales, yield, demographic and satellite data, to help us reach more farmers with greater impact.The Global R&amp;D Data Analyst will help us reach over one million farmers by executing analyses for strategic decision-making on repayment, expansion, and other business functions, and work directly with program leaders to interpret results and make data-driven decisions. The Global R&amp;D Data Analyst will play an integral role in shaping One Acre Fund’s data strategy, including dreaming up and executing new ways to use our data to improve our program.Additionally, One Acre Fund has a robust agronomic and socioeconomic research program spanning all countries of operation. This role will work closely with country R&amp;D teams to ensure all trials are executed at the highest possible standards, provide follow-up analytical support and training to team members, and support with warehousing of our agronomic data to make our research outputs accessible to external collaborators, further increasing One Acre Fund’s smallholder farmer impact across the continent.To succeed in this role, you will need to be a strong communicator and have a solid analytical background with experience in experimental design. You will need to be comfortable interpreting ambiguous results generated with imperfect data and advising leaders on the relative risk associated with different decisions based on the results of your analysis.This is a deliberately hybrid role. Success requires the ability to operate effectively as:<ul><li>an experimental methodologist (trial design &amp; causal inference),</li><li>an applied data scientist (production analytics, geospatial methods, modelling), and</li><li>a delivery-oriented project manager (prioritisation, documentation, coordination).</li></ul><h3>Responsibilities</h3>Own methodological rigour and analytical quality for trials and surveys (30%):<ul><li>Design and analyse trials and surveys, including:</li><li>Sample size and power calculations</li><li>Stratification and experimental design</li><li>Recommend the appropriate statistical methods (e.g., hypothesis testing, regression, ANOVA/mixed models)</li><li>Lead analysis of agronomic and product trials to estimate treatment effects and program impact</li><li>Quality assure trial designs and analyses produced by other analysts</li><li>Translate trial findings into clear recommendations for product design, agronomic guidance, and program strategy.</li></ul>Develop scalable analytical products and decision-support tools using program, survey, and spatial data (30%):<ul><li>Build, maintain, and improve analytical pipelines and production codebases that power operational decision tools (e.g., sowing date or input recommendations), including occasional support at the production level.</li><li>Integrate survey, MEL, and operational data with geospatial layers (soil, climate, vegetation, remote sensing) to generate localised recommendations and program targeting strategies.</li><li>Conduct spatial and remote-sensing analyses for program design, prioritisation, and impact estimation (e.g., soil erosion modelling, site suitability analysis).</li><li>Analyse historical trial and soil data to generate input and soil management recommendations (e.g., lime application, fertiliser rate application).</li><li>Evaluate potential impact of alternative interventions and support pilot design, iteration, and scale decisions.</li><li>Translate analyses into decision-ready outputs (briefs, dashboards, and memos) for non-technical stakeholders.</li><li>Identify new, high-leverage analytical use cases that improve program reach, impact, or cost-effectiveness.</li></ul>Lead impact data management and project management (~20%)<ul><li>Lead curation and standardisation of historical yield, agronomic practice, and trial datasets to enable reuse and external research collaboration.</li><li>Own knowledge management for impact data and trials, including:</li><li>Central documentation of methodologies, assumptions, sample sizes, and results for all projects</li><li>Reusable analysis templates and reference implementations</li><li>Manage external data requests in compliance with client data protection and confidentiality protocols.</li></ul>Provide portfolio-level project management (~20%):<ul><li>Maintain project plans, priorities, and timelines</li><li>Track dependencies and risks</li><li>Coordinate with program and R&amp;D stakeholders to identify potential delivery risks</li><li>Establish durable documentation and planning systems (e.g., project roadmaps, project trackers, shared repositories).</li></ul><h3>Career Growth and Development</h3>We have a strong culture of constant learning, and we invest in developing our people. You’ll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You’ll have the opportunity to shape a growing organization and build a rewarding long-term career.<h3>Qualifications</h3>Across all roles, these are the general qualifications we look for. For this role specifically, you will have:<ul><li>Bachelor's Degree in one of the following fields: economics, econometrics, mathematics, or statistics</li><li>Proficiency in R and/or Python, including working knowledge of -</li><li>Database connectivity (e.g., PostgreSQL) to enable data retrieval, manipulation, and storage from various databases</li><li>Interact with RESTful APIs (e.g., JSON, XML)</li><li>Data manipulation libraries (e.g., dplyr, tidyr) for efficient data wrangling, transformation, and exploration</li><li>Packages for data visualisation (e.g., ggplot2, lattice, plotly)</li><li>Advanced statistical analysis and modelling (stats, lme4, survival)</li><li>Machine learning frameworks (e.g., randomForest, xgboost, caret) for building predictive models and conducting machine learning tasks</li><li>Packages for data manipulation and visualisation, such as numpy, pandas, and Matplotlib</li><li>Spatial data manipulation libraries (geopandas, rasterio, shapely, GDAL)</li><li>In-depth knowledge of statistically rigorous trial design methodologies, including RCTs, side-by-side comparisons, RCBD, and other experimental designs</li><li>In-depth knowledge of statistically rigorous survey design methods, including random, stratified, and cluster sampling</li><li>Knowledge of relevant meteorological, soil, and vegetation data layers and sources, their uses and limitations (e.g., iSDA, ISRIC, CHIRPS, TAMSAT, NASA, Sentinel Hub, Google Earth Engine, AWS)</li><li>Working knowledge of agronomy, e.g., practical understanding of fertiliser nutrient compositions, plant populations, growing degree days, GxE interactions.</li><li>Working knowledge of GIS tools such as ArcGIS and QGIS, and spatial data analysis techniques.</li><li>Proficiency in version control, such as Git/GitHub.</li><li>Ability to easily explain technical concepts to non-technical decision makers and grow the analytical skills of others.</li><li>Excellent written and verbal communication skills for coordinating across teams.</li><li>Demonstrated ability to manage multiple analytical projects in parallel, including:</li><li>Scoping ambiguous analytical problems and translating them into deliverable plans</li><li>Prioritising work against timelines and stakeholder needs</li><li>Tracking progress, managing dependencies, and proactively unblocking delivery risks</li><li>Maintaining clear documentation and project plans to ensure continuity and institutional memory</li></ul><h3>Preferred Start Date</h3>As soon as possible<h3>Job Location</h3>Nairobi, Kenya or Kigali, Rwanda<h3>Benefits</h3>Health insurance, housing, and comprehensive benefits<h3>Contract Duration</h3>2 Years<h3>Eligibility</h3>One Acre Fund can support a work permit for this role. However, nationals of (or those with an extensive professional background and work history in) our countries of operation are preferred.<h3>Application Deadline</h3>10 July, 2026Please note that we hire on a rolling basis, which means that applications are reviewed and processed on a continuous basis until a hire is made.One Acre Fund never asks candidates to pay any money or pay for tests at any stage of the interview process. Official One Acre Fund emails will always arrive from an @oneacrefund.org address. Please report any suspicious communication here (globalhotline@oneacrefund.org), but do not send applications or application materials to this email address.Diversity, Equity, Inclusion (DEI), and anti-racism are deeply connected to our organisation’s mission and purpose. One Acre Fund aspires to build a culture where all staff feel consistently valued, represented, and connected – so that our team can thrive as professionals, and achieve exceptional impact for the farmers we serve.We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression. We are proud to be an equal opportunity workplace.

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