Senior Analytics Engineer: Trusted Metrics & AI-ready Data

MOO; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

19 days holiday

Pension scheme

Paid parental leave

Private healthcare

Life insurance

Hybrid/Remote options

Job summary

MOO is seeking an analytics engineer or data analyst to own end-to-end analytical domains. You will define metrics in the semantic layer, model data in dbt, and ensure KPI accuracy across dashboards and AI-ready data products.

You’ll collaborate with operations, finance, and supply chain, delivering BI reporting via Tableau and shaping governance for AI consumption. A strong emphasis on data literacy and cross-functional impact guides the role.

Qualifications

• Strong SQL and production dbt experience.
• Production experience on a cloud warehouse with Git-based, review-first workflows.
• Track record of defining metrics with stakeholders and delivering outcomes.

Responsibilities

• Partner with stakeholders across operations, commercial, finance, and supply chain to design data models and unlock analytic capabilities.
• Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views).
• Deliver reporting through our BI tooling (currently Tableau) with a tool-agnostic mindset, and reduce duplicated or conflicting outputs.
• Curate and validate governed datasets and semantic models for AI/natural-language consumption, acting as the accuracy bar for AI-generated analysis.
• Champion healthy self-service and data literacy heading in the direction of fewer, better, trusted outputs.
• Review others' work constructively and contribute to the team's modelling standards.
• Demo new features and train business stakeholders when required

Skills

SQL

dbt

Semantic layer

Stakeholder metrics

Business logic

Communication

Tools

Snowflake

Tableau

Dagster

Job description

MOO is seeking an analytics engineer or data analyst to own end-to-end analytical domains. You will define metrics in the semantic layer, model data in dbt, and ensure KPI accuracy across dashboards and AI-ready data products.

You’ll collaborate with operations, finance, and supply chain, delivering BI reporting via Tableau and shaping governance for AI consumption. A strong emphasis on data literacy and cross-functional impact guides the role.