Data Analyst

Job Description

We are on the lookout for a skilled Data Analyst to join our team in Gqeberha. The successful candidate will be instrumental in interpreting data to uncover valuable insights. You will work closely with various departments to enhance our business strategies based on data trends and patterns. The role involves data mining, performing statistical analysis, and creating data visualizations to present your findings effectively.

Responsibilities

• Analyze and interpret complex datasets to provide actionable insights.
• Design and implement data models to optimize analytics processes.
• Collaborate with teams to understand their data needs and reporting requirements.
• Ensure data integrity and accuracy through thorough validation processes.
• Develop and deliver presentations to communicate findings to stakeholders.
• Utilize programming languages such as Python or R for data analysis.
• Monitor key performance indicators and report on analytics outcomes.
• Assist in identifying new business opportunities based on data analysis.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or a related field
• Master's degree in Data Analytics or a relevant discipline is preferred

Experience

• At least 4 years of experience in a data-focused role.

Technical Skills

• Excel
• Power BI
• Big Data Technologies
• Data Mining

Soft Skills

• Critical Thinking
• Presentation Skills

Certifications

• Google Data Analytics Professional Certificate

Languages

• English: Fluent

Advantageous

• Knowledge of data warehousing concepts: Understanding of data warehousing architecture and practices.
• Experience with SQL optimization: Skills in optimizing SQL queries for better performance.

Benefits

• Comprehensive medical aid coverage
• Performance bonuses
• Access to training programs
• Work-life balance initiatives

Company Culture

• Growth Mindset: We prioritize personal and professional growth and offer opportunities for development.
• Transparency: We maintain transparency in our communications and decision-making processes.