Tiko is currently hiring a Senior Analytics Engineer to join their amazing team
About the company: Tiko inspires futures where girls and young women take charge of their sexual and reproductive choices, with the freedom to shape their lives. Founded in 2014, Tiko is an African nonprofit organisation that enhances the potential and fosters the resilience of adolescent girls and young women (AGYW) in Sub-Saharan Africa by addressing the critical “Triple Threat”: early pregnancy, HIV, and sexual and gender-based violence (SGBV). Tiko has developed its own unique girl-centric technology platform to unite an ecosystem of existing, established partners, providing an environment that enables girls to choose when, where, and how they meet their health and wellbeing needs. Leveraging this technology-enabled, community-driven approach, Tiko collaborates with local and national health systems to drive sustainable, transformative change. Tiko operates in seven countries, including Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, Zambia and Nigeria.
About the role: In this role, you will design, build, and maintain clean, reliable, and well-documented data models that power analytics, dashboards, machine learning features, and operational workflows across the organisation. You will play a central role in the data ecosystem, working closely with Analytics, Data Engineering, Product, Finance, and Operations teams to ensure data is trustworthy, well-modelled, and easy to use. The role combines strong technical expertise with a deep focus on data quality, business meaning, and enablement.
Responsibilities:
- Design, develop, and maintain scalable dbt and Tableau data models, following analytics engineering best practices such as modularity, testing, and documentation.
- Build clean and consistent semantic layers with fully validated metrics and business logic.
- Optimise data transformations for performance, cost, and long-term maintainability.
- Partner with analysts to translate business questions into well-structured, reusable data models.
- Collaborate closely with Data Engineers to ensure upstream pipelines and schemas support downstream analytics and reporting needs.
- Create and maintain documentation, playbooks, and self-service data layers to enable analysts and business teams.
- Develop reusable metrics and business definitions to ensure consistent reporting across the organisation.
- Build dashboards or semantic layers where needed and conduct exploratory analysis to validate models and understand data behaviour.
- Maintain high standards of data reliability, version control, and CI/CD for analytics code.
- Drive data modelling standards across the organisation and contribute to data literacy through documentation and training.
- Contribute to the data quality framework, including tests, data contracts, and alerting.
- Work within an agile environment, actively participating in team rituals and continuous improvement practices.
Requirements:
- 8+ years of experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role.
- Strong experience with dbt, SQL, and analytics-focused data modelling.
- Strong analytical and data exploration skills, with the ability to validate assumptions and understand data behaviour.
- Solid experience with Tableau, including modelling and performance optimisation.
- Working knowledge of CI/CD, Git, and modern data stack tooling.
- Deep understanding of dimensional modelling, ELT and ETL design, and data quality best practices.
- Strong communication skills, with the ability to translate technical data concepts into business-friendly language.
- Excellent English skills, written and spoken.
Nice to Have:
- Experience with Airflow.
- Familiarity with software engineering best practices, including testing, pull requests, code reviews, and multiple environments.
- Understanding of event-driven architectures or streaming systems, such as Kafka or Kinesis.
- Experience building or working with metric layers, such as LookML, MetricFlow, or the dbt Semantic Layer.
Recruitment Process: Introductory call with recruiter | First Interview with Tech Team | Technical Challenge | Final interview with the Tech Team
In addition to your monthly salary, they offer you:
- Benefits and allowances tailored to your location.
- Flexible work arrangements, including remote or hybrid options where applicable.
- A personal development budget of €500 per year to invest in your professional growth - whether through training, certifications, or career advancement opportunities.
- Comprehensive time-off package, including 5 days of wellness leave, all regional public holidays, maternity and parental leave according to local regulations, and unlimited holidays subject to team coordination.
- The opportunity to shape a growing, impactful product and leave your mark on how we work.
- A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement.
Want to know more? Get in touch with us 👇