AI Data Analyst: Drive AI Insights & Growth

Placements24

Upington

Hybrid

ZAR 350,000 - 520,000

Full time

9 days ago
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Benefits offered by this job

Competitive salary
Health insurance
Paid time off
Professional development
Exposure to AI projects

Job summary

Placements24 seeks a detail-oriented AI Data Analyst in Upington to collect, clean, and analyze large datasets, deriving insights to support AI development and business decisions. You will collaborate with data scientists and engineers to ensure data quality and meaningful visualizations for stakeholders.

The ideal candidate has a Bachelor's in a quantitative field, 2+ years of data analysis experience, and proficiency in Python (Pandas/NumPy) and SQL.

Qualifications

  • Bachelor's degree in statistics, mathematics, computer science, economics or related quantitative field.
  • 2+ years of data analysis experience.
  • Proficiency in Python (Pandas, NumPy) or R and SQL.
  • Strong understanding of statistical concepts and data visualization.

Responsibilities

  • Collect, clean, and preprocess data for AI model training and analysis.
  • Perform exploratory data analysis to identify trends and anomalies.
  • Develop data quality checks and validation processes.
  • Generate reports and visualizations to communicate insights to stakeholders.
  • Collaborate with data scientists and engineers to support AI model development.

Skills

Python (Pandas, NumPy)
SQL
Statistics
Data visualization
Analytical thinking

Education

Bachelor's degree in a quantitative field

Tools

Python
Jupyter
SQL Studio

Job description

Placements24 seeks a detail-oriented AI Data Analyst in Upington to collect, clean, and analyze large datasets, deriving insights to support AI development and business decisions. You will collaborate with data scientists and engineers to ensure data quality and meaningful visualizations for stakeholders.

The ideal candidate has a Bachelor's in a quantitative field, 2+ years of data analysis experience, and proficiency in Python (Pandas/NumPy) and SQL.

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