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Tiko is looking for a highly skilled Analytics Engineer to bridge the gap between data engineering and data analysis. Read on to find out more!

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 to provide an environment enabling 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.

Tiko has offices in South Africa, Kenya, Ethiopia, the Netherlands and Portugal. Globally, our team consists of +230 enthusiastic, international colleagues. Whether you are working from our biggest office in Nairobi, the fast-growing office in South Africa, or from home, our people are young, and our culture is global and dynamic. Our work environment is fast-paced, informal, and friendly. You can learn more about what being part of Tiko is like here.

We are open to remote work for this position and will happily accept applicants from anywhere in Portugal and South Africa.

The Job

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.

Key responsibilities include:

• 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.
  
  

About You

You care deeply about the meaning of data, its quality, and enabling others to work independently and confidently with it. You enjoy sitting at the intersection of business and technology, translating complex requirements into clear, well-structured data models that scale. You are comfortable collaborating across functions and explaining technical concepts in a way that makes sense to non-technical stakeholders. You take ownership of your work, value high standards, and enjoy improving how teams use data to make decisions.

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, we 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.

The Details
Interested? Click Apply for This Job! Want more information? Check out our website tikoafrica.org or contact our Global Recruiter. We only accept applications through the apply links, not by email.

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Tiko prioritizes integrity in our workplace and respects your privacy.

Tiko is committed to preventing any type of unwanted behaviour by its employees at work, including sexual harassment, exploitation and abuse, lack of integrity and financial misconduct. This is why we will do reference and background screening checks on successful candidates before hiring. Tiko also participates in the Inter Agency Misconduct Disclosure Scheme. As part of this scheme, we will request information from your previous employers about any findings of sexual exploitation, sexual abuse and/or sexual harassment during your employment, or incidents under investigation when you left employment. By applying for this position, you confirm you have read and understood these recruitment procedures.

We value your privacy and understand the importance of safeguarding your personal data. We invite you to review our privacy notice for the recruitment process to understand how we collect, use, and protect your personal data during the recruitment process. Click here to view the document. By applying for this position, you acknowledge that you have read and understood our privacy notice.