BI Intern: Data Analytics & Dashboards for Retail

Company : Foschini Group

Cape Town

On-site

ZAR 67,000 - 112,000

Full time

14 days+

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Job summary

The Foschini Group is offering a YES Intern position in Business Intelligence (Maths/Stats) to gain hands-on experience within a dynamic IT team in Cape Town. You will assist in gathering reporting requirements, querying data with SQL, documenting source-to-target mappings, and supporting dashboard creation and data model testing.

Ideal candidates are passionate about data, eager to learn, and comfortable working in a retail environment.

Qualifications

  • Degree or Diploma in Computer Science or related fields.
  • Theoretical experience in data extraction, harmonization, and structuring.
  • Experience using data visualization tools (PowerBI preferred).
  • Knowledge of SQL for data analysis.
  • Advanced MS Office skills.
  • Knowledge of Dimensional Modelling and Data Warehousing.

Responsibilities

  • Gathering and documenting reporting requirements for business areas.
  • Investigating data sources and querying using SQL.
  • Documenting functional requirements and source-to-target mappings.
  • Providing recommendations on data presentation.
  • Supporting user training and data model testing.
  • Creating test cases and test plans.
  • Ensuring solutions meet business needs.
  • Developing reports and dashboards.
  • Building and maintaining stakeholder relationships.
  • Keeping up with the latest data tools and methodologies.

Skills

SQL for data analysis
Data extraction & structuring
Advanced MS Office

Education

Degree or Diploma in Computer Science or related fields

Tools

PowerBI
Pyramid
SQL tooling

Job description

The Foschini Group is offering a YES Intern position in Business Intelligence (Maths/Stats) to gain hands-on experience within a dynamic IT team in Cape Town. You will assist in gathering reporting requirements, querying data with SQL, documenting source-to-target mappings, and supporting dashboard creation and data model testing.

Ideal candidates are passionate about data, eager to learn, and comfortable working in a retail environment.

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