Junior Data Analyst Apprentice

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

Benefits offered by this job

Comprehensive training

Mentorship from experienced data pros

Certifications and professional dev.

Hybrid work model

Potential full-time employment

Job summary

Placements24 in Stellenbosch, Western Cape, seeks motivated individuals for a Junior Data Analyst Apprenticeship. You will learn to clean, process, analyze, and visualize data to support business decisions, working with experienced data professionals in a hybrid setup that blends remote work with in-office collaboration in Stellenbosch.

The program fosters understanding of analytical methodologies and statistical concepts, preparing you for a career in data science or business intelligence and

Qualifications

• Analytical mindset with interest in data.
• Basic understanding of statistics.
• Proficiency in Excel.
• Familiarity with Tableau or Power BI is a plus.
• Knowledge of SQL or other querying languages is beneficial.

Responsibilities

• Assist in collecting and cleaning raw data from various sources.
• Perform data preprocessing and transformation for analysis.
• Conduct exploratory data analysis to identify trends and anomalies.
• Develop reports and dashboards to visualize key metrics and findings.
• Support senior analysts in interpreting data and drawing actionable insights.
• Learn and apply statistical methods for data analysis.
• Assist in creating presentations to communicate analytical results to stakeholders.
• Contribute to maintaining data quality and integrity.
• Participate in team meetings and contribute to analytical projects.

Skills

Analytical mindset

Statistics basics

Microsoft Excel

Tableau

Power BI

SQL

Tools

Tableau

Power BI

SQL

Job description

About the Role

Our client, a data-driven marketing analytics firm situated in Stellenbosch, Western Cape, is seeking ambitious individuals for their Junior Data Analyst Apprenticeship program. This is a prime opportunity to enter the exciting field of data analysis and gain practical experience in extracting insights from complex datasets. You will be trained to clean, process, analyze, and visualize data to support strategic business decisions. Working alongside experienced data scientists and analysts, you will learn to utilize powerful tools and techniques to uncover trends and patterns. This hybrid role allows for focused individual work remotely, complemented by essential in-office collaboration and team sessions in Stellenbosch. The program is designed to foster a deep understanding of analytical methodologies and statistical concepts, preparing you for a successful career in data science or business intelligence.

Key Responsibilities

• Assist in collecting and cleaning raw data from various sources.
• Perform data preprocessing and transformation for analysis.
• Conduct exploratory data analysis to identify trends and anomalies.
• Develop reports and dashboards to visualize key metrics and findings.
• Support senior analysts in interpreting data and drawing actionable insights.
• Learn and apply statistical methods for data analysis.
• Assist in creating presentations to communicate analytical results to stakeholders.
• Contribute to maintaining data quality and integrity.
• Participate in team meetings and contribute to analytical projects.

Requirements

• A strong analytical mindset and a keen interest in data.
• Basic understanding of statistical concepts.
• Proficiency in Microsoft Excel or similar spreadsheet software.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of SQL or other database querying languages is beneficial.
• Excellent attention to detail and accuracy.
• Strong communication and presentation skills.
• Ability to work collaboratively in a team and independently.
• Must be available for hybrid work arrangements in Stellenbosch, Western Cape.

Benefits

• Comprehensive training in data analysis techniques and tools.
• Mentorship from experienced data professionals.
• Exposure to real-world business challenges and diverse datasets.
• Opportunities for professional development and certifications.
• Potential for full-time employment upon successful completion of the apprenticeship.
• A dynamic work environment with a blend of remote and in-office flexibility.
• Contribution to cutting-edge analytical projects.