Graduate Data Analyst Internship

Placements24; Centurion; Hybrid; ZAR 67,000 - 100,000; Full time

Benefits offered by this job

Hands-on internship

Competitive stipend

Mentorship

Training in data tools

Networking opportunities

Job summary

Placements24 in Centurion, Gauteng invites graduates to join our Data Analyst Internship program. You will gain hands-on experience in data collection, cleaning, analysis, and visualization while working with large datasets to uncover trends.

You will receive mentorship from seasoned data professionals, comprehensive training in industry-standard tools, and exposure to real-world business challenges within a prominent financial services firm.

Qualifications

• Bachelor's degree in a quantitative field.
• Proficiency in Excel, SQL, Python or R.
• Strong analytical and communication skills.
• Attention to detail and teamwork.
• Legal eligibility to work in South Africa.

Responsibilities

• Assist in collecting and organizing data from various sources.
• Clean and preprocess datasets to ensure accuracy and consistency.
• Perform exploratory data analysis to identify patterns and trends.
• Create data visualizations and reports to communicate findings.
• Support senior analysts in developing analytical models.
• Document data sources, methodologies, and findings.
• Collaborate with team members on data-related projects.

Skills

SQL

Python

R

Data analysis

Education

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

Tools

Excel

Job description

About the Role

Our client, a prominent financial services firm, is seeking bright and analytical graduates to join their Data Analyst Internship program in Centurion, Gauteng. This internship provides an unparalleled opportunity to dive into the world of data, gaining hands-on experience in data collection, cleaning, analysis, and visualization. You will work with large datasets, uncover trends, and contribute insights that drive critical business decisions. We are looking for individuals with a strong quantitative aptitude, a meticulous approach to data, and a passion for extracting meaning from complex information. The program offers comprehensive training in data analysis tools and techniques, mentorship from seasoned data professionals, and exposure to real-world business challenges. This is an excellent stepping stone for anyone aspiring to a career in data science or analytics, situated in the bustling economic centre of Gauteng. Join a team dedicated to leveraging data for strategic advantage.

Key Responsibilities

• Assist in collecting and organizing data from various sources.
• Clean and preprocess datasets to ensure accuracy and consistency.
• Perform exploratory data analysis to identify patterns and trends.
• Create data visualizations and reports to communicate findings.
• Support senior analysts in developing analytical models.
• Contribute to data quality assurance initiatives.
• Learn and apply statistical methods for data analysis.
• Assist in interpreting results and providing actionable insights.
• Document data sources, methodologies, and findings.
• Collaborate with team members on data-related projects.

Requirements

• A Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proficiency in data analysis tools such as Excel, SQL, and Python or R.
• Understanding of statistical concepts and data visualization techniques.
• Strong analytical and critical thinking skills.
• Attention to detail and a commitment to data accuracy.
• Excellent problem-solving abilities.
• Good communication skills, both written and verbal.
• Ability to work collaboratively in a team environment.
• Must be legally eligible to work in South Africa and available for an internship in Centurion, Gauteng.
• A proactive and curious mindset towards data.

Benefits

• Hands-on experience with real-world data projects.
• Training in industry-standard data analysis tools and techniques.
• Mentorship from experienced data professionals.
• Competitive internship stipend.
• Opportunity to gain valuable industry insights.
• Networking opportunities within the financial sector.
• Exposure to advanced analytics and business intelligence.
• A supportive and collaborative learning environment.
• Potential for future career opportunities within the firm.
• Development of a strong foundation in data analytics.