Analytics Engineer Mobile

When it comes to putting people first, we're number 1.

The number 1 Top Employer in South Africa.
Certified by the Top Employer Institute 2026.

The Analytics Engineer
- Mobile is responsible for designing, building and maintaining the analytics-ready data products that enable accurate, timely and trusted mobile performance reporting across Business Performance. The role translates raw and lightly processed mobile data into governed data models, reusable metrics, semantic layers and self-service analytics assets that support executive reporting and operational decision-making.

Reporting to the Reporting and Digitisation Manager:
Business Performance, the role provides the technical analytics engineering capability required to strengthen the single source of truth for mobile performance. It works at the intersection of data engineering, business intelligence and performance analytics, ensuring that mobile data is reliable, well documented, scalable and fit for use across dashboards, recurring reporting and business analysis.

The role will contribute to faster time-to-insight, reduced manual reconciliation, consistent KPI definitions, stronger data governance and improved stakeholder confidence in mobile reporting. It also supports the broader reporting automation and digitisation agenda by creating reusable data assets that can be consumed efficiently by analysts, reporting specialists and business stakeholders.

The Analytics Engineer
- Mobile is accountable for the technical design and ongoing reliability of assigned analytics models and data products. The role does not independently approve business KPI definitions, source-system ownership or enterprise governance policy. These are agreed with the Reporting and Digitisation Manager and the relevant business, data and governance owners. The role is expected to identify risks, recommend solutions and provide clear evidence to support decisions.

Your responsibilities will include:

• Mobile Data Modelling & Transformation:
  Design, build and maintain robust transformation pipelines and analytics-ready data models for mobile performance reporting. Structure fact, dimension and event-based models using business-friendly naming conventions and reusable design patterns.
• Mobile KPI & Semantic Layer Enablement:
  Translate approved business definitions into governed measures, calculations and semantic models. Promote consistent interpretation of mobile KPIs across dashboards, reports and analytical use cases, with clear ownership and documentation.
• Data Integration & Reconciliation:
  Bring together relevant mobile, customer, sales, product and financial data from approved enterprise sources. Support reconciliation across source systems and reporting outputs, identify data breaks and work with upstream owners to resolve root causes.
• Data Quality, Testing & Observability:
  Implement automated tests, validation rules, anomaly checks, monitoring and alerting for mobile data products. Track quality issues, document known limitations and ensure corrective actions are visible and controlled.
• Analytics Infrastructure & Performance:
  Optimise data models, queries and refresh patterns for reliability, usability, performance and cost. Build scalable assets that support recurring executive reporting as well as deeper operational analysis.
• Self-Service Analytics Enablement:
  Create and maintain curated datasets, reporting views, documentation and reusable analytical assets that enable analysts and authorised business users to answer common mobile performance questions with reduced dependency on ad-hoc extracts.

• Reporting Automation Support:
  Partner with reporting and digitisation specialists to automate mobile reporting…