Mobile Analytics Engineer: Data Models & Dashboards

Vodafone Group Plc

Johannesburg

On-site

ZAR 1,000,000 - 1,500,000

Full time

3 days ago
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Benefits offered by this job

Incentive programs
Retirement funds & medical aid
Staff discounts

Job summary

Vodacom in Midrand, South Africa is seeking an Analytics Engineer - Mobile to design, build and maintain analytics-ready data products for mobile performance reporting. You will translate raw mobile data into governed measures, semantic layers and self-service assets, collaborating with stakeholders to ensure data quality and timely insights.

The role sits at the intersection of data engineering, BI and performance analytics, driving governance, automation and scalable analytics across

Qualifications

  • Degree required in a relevant field.
  • Strong SQL, data modelling and BI/analytics experience.
  • Experience with dbt and data warehousing is preferred.

Responsibilities

  • Design, build and maintain analytics-ready data models for mobile performance.
  • Translate business definitions into governed measures and semantic models.
  • Integrate data from multiple enterprise sources and ensure data quality.
  • Develop automated tests, monitoring and observability for data products.
  • Build scalable analytics assets for dashboards and reporting.
  • Collaborate with stakeholders to enable self-service analytics.

Skills

SQL
Data Modelling
dbt
Python
BI Tools
Git & CI/CD
Data Governance

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, Statistics, Engineering or related field

Tools

Power BI
Qlik
ETL Tools
Cloud Platforms

Job description

Vodacom in Midrand, South Africa is seeking an Analytics Engineer - Mobile to design, build and maintain analytics-ready data products for mobile performance reporting. You will translate raw mobile data into governed measures, semantic layers and self-service assets, collaborating with stakeholders to ensure data quality and timely insights.

The role sits at the intersection of data engineering, BI and performance analytics, driving governance, automation and scalable analytics across

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