Junior Data Analyst - Whatjobs Direct

About the Role

Our client, WhatJobs Direct, is seeking a motivated and detail-oriented Junior Data Analyst to join their dynamic team in Pietermaritzburg, KwaZulu-Natal. This is an exciting opportunity for a recent graduate to kickstart their career in data analysis, working with diverse datasets and contributing to critical business decisions. The role involves collaborating with various departments to extract, transform, and analyze data, providing actionable insights to support strategic planning and operational efficiency. You will be part of a supportive environment that encourages learning and professional growth, with opportunities to develop your skills in data visualization and reporting tools. The position is designed to provide hands‑on experience in a real‑world business context, making it an ideal entry point into the data analytics field. The successful candidate will have the chance to work on challenging projects and make a tangible impact on the company's success. We are looking for an individual with a keen analytical mind and a passion for uncovering trends within data. This role offers a blend of in-office collaboration and remote flexibility, allowing for a balanced work‑life integration in Pietermaritzburg, KwaZulu-Natal.

Key Responsibilities

• Collect, clean, and preprocess data from various sources for analysis.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement databases and data collection systems.
• Assist in creating reports and dashboards to communicate findings to stakeholders.
• Collaborate with senior analysts and department heads to understand data needs.
• Ensure data accuracy and integrity throughout the analysis process.
• Support the development of data models and algorithms.
• Contribute to the continuous improvement of data analysis methodologies and tools.
• Maintain documentation for data processes and analyses.
• Present findings and recommendations in a clear and concise manner.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with at least one programming language such as Python or R.
• Basic understanding of statistical concepts and methods.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Prior internship or project experience in data analysis is a plus.
• Eagerness to learn and adapt to new technologies.

Benefits

• Competitive starting salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and further training.
• A collaborative and supportive work environment.
• Hybrid work model offering flexibility.
• Generous paid time off and company holidays.
• Access to cutting‑edge data analysis tools and technologies.
• Career advancement opportunities within the organization.
• Regular team‑building activities and social events.

#J-18808-Ljbffr