Data Analytics Apprentice — Learn, Model & Visualize Insights

Placements24

Pretoria

On-site

ZAR 78,000 - 134,000

Full time

9 days ago

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Benefits offered by this job

On-the-job training
Mentorship
Professional development
Career progression
Competitive apprentice salary

Job summary

Placements24 is seeking a highly analytical Data Analytics Apprentice for its Centurion, Gauteng office. The role involves learning data collection, cleaning, processing, analysis, and visualization under mentorship, with exposure to statistical methods and ML concepts.

You will work with experienced data professionals, build dashboards, and support business units to uncover actionable insights. A strong quantitative background and teamwork are essential for long-term growth in the data

Qualifications

  • Degree in a quantitative field or closely related discipline.
  • Solid understanding of statistical concepts and methods.
  • Proficiency in SQL for data extraction and manipulation.

Responsibilities

  • Assist in collecting, cleaning, and pre-processing large datasets from various sources.
  • Perform exploratory data analysis to identify patterns, trends, and anomalies.
  • Develop and run statistical models to derive meaningful insights.
  • Create clear and compelling data visualizations and reports to communicate findings.
  • Support senior analysts in developing dashboards and business intelligence tools.
  • Collaborate with different business units to understand their data needs and challenges.
  • Assist in the design and execution of A/B tests and other experiments.
  • Learn and apply data mining techniques and predictive modeling.
  • Ensure data accuracy and integrity throughout the analysis process.

Skills

SQL
Python
R
Tableau
Power BI
Statistics
Analytical skills
Communication
Team collaboration

Education

Bachelor's degree in Mathematics/Statistics/Economics/Computer Science

Tools

Tableau
Power BI

Job description

Placements24 is seeking a highly analytical Data Analytics Apprentice for its Centurion, Gauteng office. The role involves learning data collection, cleaning, processing, analysis, and visualization under mentorship, with exposure to statistical methods and ML concepts.

You will work with experienced data professionals, build dashboards, and support business units to uncover actionable insights. A strong quantitative background and teamwork are essential for long-term growth in the data

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