Remote Data Analyst: Insights & Dashboards for Graduates

Placements24

Rustenburg

Hybrid

ZAR 250,000 - 360,000

Full time

12 days ago
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Benefits offered by this job

Fully remote work
Competitive salary and bonuses
Extensive training
Access to leading BI tools
Collaborative virtual team
Career progression

Job summary

Placements24 is seeking a highly analytical Graduate Data Analyst to join a fully remote team. You will transform raw data into actionable insights, work with large datasets, and build dashboards to communicate findings.

This entry-level role offers training from experienced data scientists and exposure to modern BI tools. Ideal candidates hold a quantitative degree, are proficient in SQL, Python, or R, and have familiarity with Tableau or Power BI.

Qualifications

  • Degree in a quantitative field (Stats, Math, Econ, CS).
  • Proficiency in SQL, Python or R.
  • Experience with data visualization tools is a plus.
  • Strong analytical and communication skills.

Responsibilities

  • Collect, clean, and process large datasets from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and correlations.
  • Develop reports, dashboards, and visualizations to communicate findings effectively.
  • Assist in the design and implementation of data models and analytical frameworks.
  • Collaborate with business stakeholders to understand their data needs and provide insights.
  • Stay updated with the latest trends and technologies in data analysis and business intelligence.

Skills

SQL
Python
R
Tableau
Power BI

Education

Quantitative degree (Statistics, Mathematics, Economics, Computer Science)

Tools

Tableau
Power BI

Job description

Placements24 is seeking a highly analytical Graduate Data Analyst to join a fully remote team. You will transform raw data into actionable insights, work with large datasets, and build dashboards to communicate findings.

This entry-level role offers training from experienced data scientists and exposure to modern BI tools. Ideal candidates hold a quantitative degree, are proficient in SQL, Python, or R, and have familiarity with Tableau or Power BI.

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