Senior Analytics Engineer - Semantic Layer & AI-Ready Data

MOO group; Cape Town; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

19 days holiday rising with tenure

Matched pension scheme

Private healthcare

Life insurance

Job summary

MOO is looking for an analytics engineer or data analyst to own end-to-end analytical domains, modelling data and defining metrics in the semantic layer.

You will work with data from e-commerce and manufacturing, using Snowflake, dbt and Tableau, collaborating with stakeholders to deliver trusted insights and AI-ready datasets.

The role supports hybrid/remote work in SA and beyond, with a focus on impactful business outcomes.

Qualifications

• Strong SQL and production dbt experience.
• Production experience on a cloud data warehouse with Git-based, review-first workflows.
• A track record of defining metrics with stakeholders and delivering outcomes people rely on.
• Can demonstrate sound judgement about where logic should live - e.g. in semantic layer or BI layer.
• Demonstrable interest in how data analytics is changing alongside AI, and developing own skillset.

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

Snowflake

Tableau

Data modelling

Stakeholder comms

Tools

Semantic Layer

Git workflows

Cloud warehouse

Python

Job description

MOO is looking for an analytics engineer or data analyst to own end-to-end analytical domains, modelling data and defining metrics in the semantic layer.

You will work with data from e-commerce and manufacturing, using Snowflake, dbt and Tableau, collaborating with stakeholders to deliver trusted insights and AI-ready datasets.

The role supports hybrid/remote work in SA and beyond, with a focus on impactful business outcomes.