Analytics Engineering Lead

Are you an Analytics Engineering Lead, who knows exactly how to bridge the gap between raw data engineering and high-impact business insights? Read on to find out more About Tiko Tiko is a high-growth, award-winning African nonprofit on a mission to radically transform healthcare access. Recognized as an Audacious Project awardee and one of the fastest-growing NGOs in the sector, we are committed to strengthening the potential and resilience of adolescent girls across Africa. We address the "Triple Threat" of unintended pregnancy, HIV infection, and sexual and gender-based violence by building local health ecosystems that provide stigma-free, no-cost, quality-assured services. Our model brings together key local actors: community-based organizations (CBO) with peer mobilisers who act as health companions to girls; public and private health clinics that deliver care; and retail partners that redeem Tiko Miles -our behavior-change incentive programme that rewards service uptake and feedback. We invest in partners by strengthening CBO capacity, training frontline workers and providers, supporting clinic quality improvement, and compensating partners based on performance. Our technology platform connects all actors by enabling referrals, verifying service delivery, facilitating payments, and generating real-time data. Tiko operates in six countries: Kenya, Ethiopia, Uganda, Burkina Faso, South Africa, and Nigeria, with additional offices in Portugal, the Netherlands, and the United Kingdom. For a clear overview of our work, we recommend watching this short video. Globally, our team consists of +250 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. We are open to remote work for this position and will happily accept applicants from anywhere in Portugal, Kenya and South Africa. The Job We are looking for a highly skilled Analytics Engineering Lead to provide technical leadership and bridge the gap between data engineering and data analysis. In this role, you will lead the vision for our data environment, mentoring a team to design, build, and maintain clean, reliable, well-documented data models that power analytics, dashboards and operational workflows.

Responsibilities:
Mentor and grow the analytics engineering team, fostering a high-performance culture. Collaborate with cross-functional leadership (Engineering, Product, Architecture) to align data efforts with business goals. Data Modeling & Transformation Lead and/or oversee the design, development, and maintenance of scalable DBT and tableau data models following best practices. Direct the creation of clean semantic layers with fully validated metrics and business logic. Optimise transformations for performance, cost, and maintainability. Lead collaboration with analytics engineers to translate business questions into well-structured data models. Work closely with Data Engineers to ensure upstream pipelines and schemas support downstream needs. Build documentation, playbooks, and self-serve layers for stakeholders. Analytics & Insights Own the development of reusable metrics and business definitions for consistent reporting. Oversee the building semantic layers where needed. Conduct exploratory analysis to validate models and understand data behaviours. Governance & Best Practices Accountable for high standards of data reliability, version control, and CI/CD for analytics code. Drive data modelling standards across the organisation. Contribute to data literacy initiatives through documentation and training. Contribute to the data quality framework (tests, contracts, alerting). Continue to work in an Agile way, as per our teams. About you This role is ideal for someone who cares deeply about the business meaning of data, its quality and enabling analysts and business teams to self-serve. You will sit at the centre of our data ecosystem—working closely with Data Engineering, Product, Finance, and Operations.

Requirements:
Leadership

Experience:
Proven experience leading or mentoring data teams. Ability to set technical strategy and vision for analytics infrastructure. Strong stakeholder management experience (mainly Product and Architecture) 8+ years in Analytics Engineering Strong experience with dbt, SQL, and analytics-focused data modelling. Deep understanding of dimensional modelling, ELT/ETL design, and data quality practices. Knowledge of CI/CD, Git, and modern data stack tooling. Familiarity with software engineering best practices: testing, pull requests, code reviews, environments. Strong communication

skills:
able to translate technical data concepts into business-friendly language. You have excellent English skills Nice to have: Airflow experience would be very beneficial Experience with Tableau (modeling and optimization) Exp