OverviewWe are looking for a Senior Analytics Engineer to join our team at M-KOPA. Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa.The ImpactYour data pipelines and models will directly enable product teams to understand and expand financial inclusion for millions across Africa. We've already helped over 5 million customers access over $1.5 billion in credit. It's your chance to shape how data drives decisions that literally transform lives across an entire continent.The OpportunityMission-driven analytics: Every dataset you model helps teams measure and expand financial inclusion for under-banked populationsGlobal recognition: Join a company named by TIME 100 as one of the world\u2019s most influential and by the Financial Times as Africa\u2019s fastest-growing for 4 consecutive years (2022-2025)Scale challenges: Build analytics infrastructure processing data for millions across multiple African marketsEnvironmental impact: We\u2019re carbon-negative, having displaced over 2 million tonnes of emissionsWhat You\u2019ll DoYou'll own analytics datasets and pipelines for specific product domains with real-world impact. Our analytics engineers have full autonomy to drive the analytics direction for their areas – from defining success metrics to building self-serve capabilities. Join us in combining cutting-edge data engineering with purpose-driven analytics.Technical EnvironmentModern Analytics Stack: SQL and Python in dbt on Airflow infrastructureData Warehouse Architecture: Dimensional data modelling for big data infrastructures - Modern distributed data warehouse solutions (Databricks experience a plus)BI & Semantic Layer: Looker for semantic models and self-serve analyticsOrchestration: Airflow for pipeline automation and schedulingOur Analytics ApproachAs a Senior Analytics Engineer, you will work as a collaborative partner. Working in a matrix organisation with 12 Analytics Engineers and 3 Platform Engineers, you\u2019ll build:Easy to understand and consistently modelled datasetsWell-tested and documented data assetsSelf-serve capabilities and user coachingBest practices in data transformation pipelinesClose collaboration with software engineers on data captureWhat You NeedWe expect you to be comfortable owning analytics infrastructure end-to-end, from defining key metrics with cross-functional partners to building production pipelines. You\u2019ll value clean dimensional modelling, embrace testing and documentation as first-order concerns, and enjoy coaching others on self-serve analytics.Required ExperienceDimensional data modelling for analytics / data warehouses / big data infrastructuresHigh proficiency in SQL (any dialect)Programming in Python, Java or other languageDeep understanding of data warehouse technologiesHands-on with BI tools such as Looker or TableauTrack record using transformation tools such as dbtPractical experience with orchestration systems such as AirflowStrong communication skills with proven ability to explain technical concepts to non-technical audiencesBonus ExperienceDatabricks implementation or migration experienceConsumer-facing product analytics backgroundLocation & BenefitsFully remote role within UTC -1 to UTC +3 time zonesWork with diverse teams across UK, Europe, and AfricaProfessional development programs and coaching partnershipsFamily-friendly policies and flexible working arrangementsWell-being support and career growth opportunitiesOur MissionWe create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.Our ImpactOur technology has created measurable change:Connected : 1.7 million first-time mobile internet users connectedProsperous : 62% of customers use M-KOPA smartphones for income generation, with 30,000+ livelihoods created for agentsGreen : 2.1 million tonnes of CO2 avoided through clean energy products, with over 100,000 circular economy products providedReady to build analytics infrastructure that measures and enables real-world financial inclusion while advancing your career in modern data engineering?At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.Apply now to join our mission of transforming lives across Africa through technology.Why M-KOPA?At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritise well-being, and embrace flexibility.Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.Our ImpactRecognized four times by the Financial Times as one Africa\u2019s fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024, we\u2019ve served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.Important NoticeM-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology #J-18808-Ljbffr