Global Data Analyst Intern

About One Acre Fund Since 2006, One Acre Fund has supported 5.5 million smallholder farmers in nine African countries. The organization supplies high-quality farming inputs, tree seedlings, credit, and modern agronomic training. By working with One Acre Fund, farmers increase their income and assets on supported land by more than 35% and strengthen their resilience. Over 9,000 team members from a range of backgrounds contribute to this mission. For more on the organization’s values and workplace culture, visit the Why Work Here blog post. Young Professionals Program The Young Professionals Program offers paid internships and training for outstanding African graduates. Interns take on meaningful assignments that directly support One Acre Fund’s goals. The program includes a thorough onboarding process and project design training. Interns collaborate with peers and gain practical experience to help launch their careers. Role Overview: Global Data Analyst Intern Based in Nairobi, Kenya, the Global Data Analyst Intern works with cross-country datasets to develop core data products. The focus is on building reliable dashboards and reports that inform decisions throughout the organization. This work helps advance One Acre Fund’s mission to deliver larger harvests, healthier families, and improved soil for smallholder farmers. Main Responsibilities Design, build, and maintain operational reports and dashboards to support analytics for multiple teams. Document and verify dashboards and reports for accuracy and long-term use. Monitor how tools are used and make ongoing improvements to ensure they remain useful and trusted. Manage daily operations of the tech service desk, ensuring effective and high-quality support. Escalate and resolve issues promptly to keep operations running smoothly.

About One Acre FundEstablished in 2006, One Acre Fund empowers over 5.5 million smallholder farmers to enhance productivity and sustainability on their farms. Operating in nine countries that are home to two-thirds of Africa's farmers, we deliver high-quality agricultural inputs, tree seedlings, accessible credit, and comprehensive training programs. This innovative model typically boosts farmers' income and asset growth by over 35% while fostering long-term resilience. Our diverse team of more than 9,000 dedicated professionals plays a crucial role in this mission.Discover more about our culture and values through our Why Work Here blog post.About the RoleThe Global Data R&D Analyst position offers a unique opportunity to influence decision-making across all facets of One Acre Fund’s program. By leveraging various data types, including sales, yield, demographic, and satellite data, you will help us reach over one million farmers with greater efficiency and impact.In this role, you will conduct analyses that inform strategic decisions on repayment, program expansion, and operational functions, collaborating closely with program leaders to interpret findings and make informed decisions. You will also play a pivotal role in shaping our data strategy, exploring innovative ways to utilize data to enhance our program outcomes.Moreover, you will work alongside our robust agronomic and socioeconomic research teams across all operational countries, ensuring that trials are executed to the highest standards. This includes providing analytical support, training for team members, and managing our agronomic data warehouse to facilitate research collaboration, thereby amplifying our impact on smallholder farmers throughout the continent.To excel in this role, you should possess excellent communication skills and a strong analytical foundation, with experience in experimental design. You should be adept at navigating ambiguous results derived from imperfect data and advising leadership on the risks associated with various decision paths.This role is intentionally hybrid, requiring proficiency as:an experimental methodologist (trial design & causal inference),an applied data scientist (production analytics, geospatial methods, modeling), andan effective communicator across diverse teams.

Reporting to: Data Analytics ManagerOur Mission:At Watu Africa, we empower aspiring entrepreneurs.As Africa’s leading Asset Finance company, we are dedicated to making dreams a reality for those who seek to start and grow their businesses. We envision a future filled with opportunities and prosperity for the continent, and we aim to be a driving force in this transformation. Our vision is to deliver asset financing solutions for mobility assets (including motorcycles, three-wheelers, and vehicles) and mobile devices to motivated individuals who believe that the right tools can help them succeed as entrepreneurs while supporting their families and communities. Our commitment is to Empower Entrepreneurs by providing the resources needed to advance and thrive in their lives.Your Responsibilities:Develop and maintain comprehensive reports and dashboards for various key performance indicators (KPIs).Utilize data analysis and statistical methods to answer business queries.Assist the management team with a range of data-related requests.Conduct regular audits to ensure data quality in accordance with company policies.Support the establishment and maintenance of back-end data ingestion and transformation processes.Qualifications We Seek:Technical Skills:A degree or diploma in Data Analytics or a related discipline.Over 2 years of experience in Data Analysis.Proficiency in advanced SQL (required).Strong knowledge of Excel and Google Sheets.Familiarity with relational database concepts.Experience in data preparation and acquisition.Preferred Technical Knowledge:Proficient in R or Python.Experience with Google Cloud solutions, particularly Google Data Studio and BigQuery.Experience with non-relational databases or big data technologies.Familiarity with Git and dbt.Non-Technical Skills:Ability to work independently and take initiative.Meticulous attention to detail.Self-motivated and results-oriented.Effective team player with strong communication skills.How to Apply:Click this link: Apply Now.

Join Acumen Academy as a Senior Associate, Insights, where you'll play a pivotal role in driving impactful data analysis and insights to support our mission of tackling poverty through entrepreneurial solutions. In this dynamic position, you will collaborate with diverse teams to synthesize complex data into actionable insights, helping to inform strategy and enhance our educational programs.

We are on the lookout for a passionate and skilled Data Analyst to join our innovative team at Invent Consulting Ltd. In this role, you will be instrumental in transforming data into actionable insights that drive our business strategy, product development, and operational efficiency.Develop advanced models to analyze trends, forecast performance, and recommend strategic improvements.Conduct thorough data analyses to support informed decision-making across the organization.Create visually appealing and informative dashboards and reports to communicate findings effectively.Design and implement automation tools to enhance daily operational efficiency.Maintain the accuracy, consistency, and integrity of business metrics across all reporting.Produce comprehensive documentation and training materials, establishing best practices and a robust data toolkit for the team.

We are seeking a motivated and detail-oriented Junior Business Analyst to join our dynamic team at Salix Data Africa Limited. In this role, you will play a vital part in analyzing business processes, identifying areas for improvement, and supporting project implementations to enhance organizational efficiency.

Act as the primary point of contact for external data-trading partners, ensuring the development, maintenance, and support of file specifications and integrations.Configure, modify, test, and sustain EDI maps, file processes, and system interfaces to meet evolving business needs.Conduct thorough analysis of business workflows, translating requirements into precise technical design specifications.Diagnose file failures, data discrepancies, and integration issues linked to uploads and system workflows.Oversee testing, implementations, and upgrades for both new and existing clients to ensure seamless integration.Facilitate the onboarding process and maintain file-based integrations for optimal performance.Uphold compliance with data handling, reporting standards, and accuracy metrics.Identify opportunities to enhance performance, reliability, and automation within file transfer processes.Collaborate with internal operations, engineering, and client-facing teams to deliver tailored, client-centric solutions.Key areas of focus will include:FMLA / Absence ManagementConfigure new employer accounts and establish file feeds.Manage ongoing file processing and resolve any issues that arise.WEX IntegrationsOnboard new clients and ensure accurate approval and processing of file feeds.Conduct regular system and file maintenance to ensure reliability.File OperationsOversee manual uploads of eligibility, contribution, and demographic files.Monitor recurring file processes and swiftly address exceptions.

Reporting to: Head of ProcessRole Purpose:As a Process Analyst, you will play a crucial role in enhancing operational efficiency and ensuring accountability within our teams. Your primary goal will be to empower operational teams by developing new processes and refining existing ones. The successful candidate will be a data-driven professional with exceptional skills in data analysis, project management, stakeholder engagement, and effective communication.Key Responsibilities:Develop a comprehensive understanding of business requirements and processes.Collaborate with business leaders to assess current processes, identify gaps, and anticipate changes.Facilitate efficiency improvements through process mapping and opportunity identification.Design and implement systems for operational teams utilizing Google Cloud Platform.Provide initial training and ongoing support to ensure operational teams achieve self-sufficiency.Conduct experiments and analyses to quantitatively determine best practices.Qualifications (Required):Proficiency in SQL.Strong skills in spreadsheet management.Qualifications (Preferred):Bachelor's degree in a quantitative field such as:Computer Science, Actuarial Science, Engineering, Statistics, Economics, Mathematics, or Management Information Systems.Experience with dashboarding and data visualization tools.Familiarity with Python programming.Your Journey to Becoming a Rockstar Process Analyst:Weeks 1-2: Immersion in the business environment through shadowing various departments and learning how different functions interconnect.Weeks 3-4: Collaborate with experienced process analysts on ongoing system development and optimization projects. Potential internship with our analytics team to enhance your data skills and familiarize yourself with GCP.Months 2-3: Take ownership of a project from inception to completion, supported by your manager and team.Life as a Process Analyst:Engage in daily morning huddles, weekly one-on-ones with your manager, and regular collaboration with operational teams. Enjoy a flexible work environment with the option to work from home one day per week and occasional travel (approximately 10%).Note: Only shortlisted candidates will be contacted.

Role overview Standard Bank Group is hiring a Data Privacy Manager based in Nairobi. The role centers on safeguarding data integrity and confidentiality throughout the organization. A thorough grasp of data privacy laws is essential, along with the ability to turn legal requirements into practical company policies and procedures. Main responsibilities Create, update, and oversee data privacy policies to ensure compliance with both local and international standards. Collaborate with teams across departments to enhance data protection measures. Carry out privacy impact assessments to detect and address potential risks. Serve as the primary contact for data privacy inquiries and concerns within the organization.

Accor Hotels is seeking a Revenue Analyst in Nairobi to support hotel revenue management. This entry-level position offers recent graduates a chance to build a career in hospitality while learning the fundamentals of revenue optimization. Role overview The Revenue Analyst will work closely with the team to study market trends and monitor pricing strategies. By gathering and interpreting data, this role helps inform decisions that impact financial results across the hotels. Key responsibilities Analyze market trends and competitor activity Monitor and review pricing strategies Assist in reporting and forecasting to support financial goals Who should apply This position suits recent graduates eager to start a career in hospitality revenue management. A keen interest in data analysis and hotel operations will be helpful in this role.

Join RWS as a freelance AI Data Specialist focusing on enhancing AI-generated content in Amharic. This part-time, remote role offers flexibility in your work schedule, allowing you to contribute to the development and safety of AI models while earning extra income. Your responsibilities will include data collection, evaluation, annotation, and various tagging tasks across multiple content types such as audio, video, and images. Start immediately and make a meaningful impact in the AI landscape.

We are seeking a passionate and dedicated Entrepreneurship Development Analyst to join our dynamic team in Nairobi. In this role, you will be instrumental in driving our entrepreneurship initiatives, supporting startups, and fostering a culture of innovation and growth.Your responsibilities will include conducting market research, analyzing entrepreneurial ecosystems, and collaborating with various stakeholders to enhance our programs. This position offers an exciting opportunity to make a significant impact on the entrepreneurial landscape in Kenya.

Develop and implement advanced algorithms and statistical models to extract insights from large datasets, enhance model performance, and ensure data quality through rigorous validation and cleansing processes.Execute data preprocessing, including cleaning and verifying the integrity of data utilized for analysis.Conduct exploratory data analysis to uncover trends and patterns.Research and create innovative statistical models tailored for complex data analysis.

Join Digital Divide Data as a Supervisor in our AI-ML Data Annotation team focused on Advanced Vehicle (AV) and Advanced Driver Assistance Systems (ADAS). In this pivotal role, you will oversee and guide a team dedicated to ensuring high-quality data annotation that drives innovation in AI and machine learning applications. Your leadership will be vital in enhancing data accuracy and supporting the development of cutting-edge technology within the automotive industry.

M-KOPA is seeking a Senior Analyst focused on Credit Risk & Eligibility to join the team in Nairobi. This position centers on analyzing credit data and shaping strategies that support the company’s financial products. Role overview The Senior Analyst will work closely with colleagues from various departments to review and refine eligibility criteria. The goal is to ensure these criteria reflect both market trends and customer needs. Day-to-day, this role involves examining large sets of credit data, spotting patterns, and delivering insights that inform key financial decisions. What you will do Analyze credit data to identify trends and risks Develop and refine strategies for assessing credit eligibility Collaborate with cross-functional teams to align eligibility standards with business and customer requirements Provide actionable recommendations to improve risk assessment frameworks Requirements Strong background in data analysis and risk management Experience in developing or optimizing credit strategies Ability to translate data insights into practical recommendations

Join our innovative team at RWS as an AI Data Specialist, where you will play a pivotal role in enhancing AI-generated content in Oromo. Position Type: FreelanceLocation: RemoteWork Schedule: Part-time - Minimum 10 hours per week, with a flexible schedule allowing you to work at your convenience.Start Date: ImmediateDuration: To Be ConfirmedCompensation: Project rates dependent on the vendor’s location Contribute to the Future of AIAre you a student, a recent graduate, a stay-at-home parent, or a gig worker looking for flexible remote opportunities? Join us in shaping the development and safety of cutting-edge AI models! Your RoleIn this position, you will engage in a variety of data-centric tasks, which include:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Executing counting tasks.- Tagging and labeling objects across various content formats, including audio, video, images, and collected data. What We Seek:- Native fluency in Oromo- Proficiency in English: Fluent or advanced English skills (B2–C2 levels)- Preferred AI & Data Skills: Experience in machine learning, data collection, preprocessing, evaluation, quality assurance, and annotation. What We Offer:- Flexible working hours- Opportunity for additional income- Prompt payment schedule- Ideal for students, part-time workers, or stay-at-home parents#LI-CAN17

Triple Jump invests in sustainable economic development and poverty reduction across emerging markets. The firm channels capital to financial institutions, small and medium enterprises, and organizations that create measurable social and environmental impact. Key focus areas include financial inclusion, missing middle finance, affordable housing, clean energy, and climate resilience. Role overview The Investment Analyst will join the Direct Investments team in Nairobi. This position works across the full investment cycle for both equity and debt, with an emphasis on companies expanding access to energy and climate solutions under the EEGF and CEI Africa mandates. Main responsibilities Identify, appraise, process, and monitor investments in companies throughout Sub-Saharan Africa and India. Support internal investment decision-making processes. Assist with client relationship management. Contribute to operational tasks as required. Travel regularly to meet investees and stakeholders across Sub-Saharan Africa. Location This role is based in Nairobi, Kenya. Frequent travel within Sub-Saharan Africa is expected.

About VertoAt Verto, our mission is to revolutionize global finance and empower businesses in Emerging Markets to access the global economy. Founded by British-Nigerian entrepreneurs Ola Oyetayo and Anthony Oduu, we understand the significant challenges faced by businesses regarding cross-border payments, including currency illiquidity, excessive fees, and lengthy transaction times. This insight drives our commitment to Africa, as we aim to bridge the gap between emerging and developed markets to promote global economic growth.Initially launched as a foreign exchange solution for the Nigerian Naira, we have grown into a leading platform that facilitates seamless transfers of billions of dollars for thousands of businesses each year. We believe that your location should not dictate your success or ability to expand. Our goal is to provide equal access to efficient payment and liquidity solutions that are standard in developed markets.With backing from world-class investors like Y-Combinator, Quona, and MEVP, and accolades such as the Milken-Motsepe Prize and placements on lists of the fastest-growing companies, Verto is dedicated to building a future where cross-border payments are effortless.Join us on our journey to transform global finance.Role OverviewWe are looking for a skilled and dynamic Middle Office Analyst to become part of our expanding team. Reporting directly to the Middle Office Manager, you will play a crucial role within the Middle Office function, overseeing daily management of Verto’s treasury and payment liquidity, FX trade risk management, and providing support to the trading desk.Your ResponsibilitiesManage payment liquidity and treasury operations to meet daily settlement needs.Ensure prompt client settlements while fulfilling our obligations for safeguarding customer funds and partner credit lines.Supervise the recording of treasury transactions in our internal systems.Source, validate, and disseminate daily data required for treasury funds and credit facilities.Reconcile treasury funds, ensuring adherence to credit facility terms and internal parameters.Oversee the reconciliation and monitoring of daily OTC trading currency and trade positions.Manage customer FX trade settlements and assist with trading desk operations.

About One Acre Fund Established in 2006, One Acre Fund empowers over 5.5 million smallholder farmers to enhance their agricultural productivity. Operating across nine countries that host two-thirds of Africa's farming population, we provide top-notch farming supplies, tree seedlings, accessible credit, modern agricultural training, and a variety of other essential agricultural services. Our model typically enables farmers to boost their income and assets on supported land by more than 35 percent while significantly enhancing their resilience. This achievement is driven by our dedicated team of over 9,000 full-time staff, representing diverse backgrounds and professions. To discover more about our workplace culture, visit our Why Work Here blog post. About the Role The Data Engineer is responsible for architecting and sustaining the systems that power our organization's data platform. This role involves designing dependable data pipelines, managing data infrastructure, and enabling high-quality datasets that facilitate analytics and informed decision-making throughout the organization. Data Engineers collaborate closely with analysts, business stakeholders, and fellow engineers to ensure data is accessible, structured, and documented in a manner that promotes consistent and reliable usage. They also take ownership of one or more data domains, being accountable for the pipelines, transformations, and foundational data models that underpin those domains. Responsibilities Data Pipeline Development Design, construct, and sustain data pipelines that ingest and process data from operational systems into the data warehouse. Ensure pipelines are robust, scalable, and maintainable. Implement monitoring, logging, and alerting systems to identify failures or anomalies in data processing. Troubleshoot and resolve issues related to data pipeline failures or data quality. Data Modeling and Semantic Layer Support Collaborate with analysts and data stakeholders to convert raw datasets into structured, reusable datasets that support reporting and analytics. Implement transformations that encapsulate key business logic within the data warehouse. Contribute to the development of curated datasets and standardized views that facilitate consistent analysis across various teams and countries. Ensure datasets are thoroughly documented and easily understood by downstream users. Data Quality and Reliability Establish validation, testing, and monitoring processes to guarantee data accuracy and consistency.

Speechify builds technology that turns written content into audio, helping over 50 million users learn and access information in new ways. Our text-to-speech tools work with PDFs, books, Google Docs, news articles, and websites, making reading more accessible and efficient. Our suite of products spans iOS, Android, Mac, and Chrome. Speechify has earned recognition from Google as Chrome Extension of the Year and received Apple’s 2025 Design Award for Inclusivity. The team at Speechify is fully distributed, with nearly 200 professionals worldwide. Members include frontend and backend engineers, AI research scientists, and leaders from companies such as Amazon, Microsoft, and Google, plus alumni from Stanford and startups like Stripe and Vercel. There is no central office; everyone works remotely. Role Overview The Data team within Speechify’s AI division is seeking a Software Engineer focused on Data Infrastructure & Acquisition. This position centers on managing and improving the systems that collect and prepare data for model training. The team’s mission is to assemble large-scale, high-quality datasets efficiently and cost-effectively, combining infrastructure, engineering, and research expertise. What You Will Do Find and secure new sources of audio data, then integrate them into the data ingestion pipeline. Maintain and improve the cloud infrastructure for the ingestion pipeline, which runs on Google Cloud Platform and uses Terraform for management. Partner with Scientists to optimize cost, throughput, and data quality, enabling richer datasets at scale for next-generation models. Work with the AI team and company leadership to shape the dataset roadmap for both consumer and enterprise product development. Location This role is based in Nairobi, Kenya, as part of Speechify’s distributed team.