Analytics Engineer (Senior) at Tiko

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.