Graduate Data Analyst
Remote / Online - Candidates ideally in
Rustenburg, 0202, South Africa
Listed on 2026-10-03
Rustenburg, 0202, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-10-03
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineering, Data Scientist
Job Description & How to Apply Below
Our client is seeking highly analytical and curious Graduate Data Analysts to join their dynamic, fully remote team. In this role, you will play a vital part in transforming raw data into actionable insights that drive business decisions. You will work with large datasets, utilizing advanced tools and techniques to identify trends, patterns, and anomalies. This position offers an unparalleled opportunity for recent graduates to hone their analytical skills, learn from experienced data scientists, and contribute to significant projects within a flexible, remote setting, fostering innovation and a data-driven culture.
Key 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.
- A degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Proficiency in data manipulation and analysis using tools like SQL, Python, or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and critical thinking skills.
- Excellent communication skills, able to explain complex data insights clearly.
- Self-motivated and able to work independently in a remote environment.
- Competitive salary and potential for bonuses.
- Fully remote work arrangement, allowing for a flexible lifestyle.
- Extensive training and professional development opportunities in data science.
- Access to state-of-the‑art analytical tools and software.
- A supportive and collaborative virtual team environment.
- Career progression pathways into specialized data roles.
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