Data Analyst

Job Description

Join our dynamic data analytics team as a Data Analyst in Pretoria, where you will leverage data to drive strategic decision-making. The ideal candidate will have a strong understanding of data analysis techniques, statistical methods, and experience with data visualization tools to present insights effectively. You will work closely with cross-functional teams to support data-driven projects and contribute significantly to our analytics initiatives.

Responsibilities

• Develop models to forecast trends based on historical data.
• Build and maintain relationships with key stakeholders.
• Ensure compliance with data privacy regulations.
• Integrate new technologies to enhance data processing.
• Facilitate workshops to discuss analytics findings with stakeholders.
• Drive initiatives to improve data literacy within the organization.
• Mentor junior analysts in data analysis techniques.
• Evaluate the effectiveness of analytics projects.

Requirements

Education

• Bachelor's degree in Statistics, Mathematics, or related field
• Master's degree preferred

Experience

• 3+ years of experience in a similar role

Technical Skills

• Excel
• R Programming

Soft Skills

• Attention to Detail
• Team Collaboration

Certifications

• Data Science Certification
• Microsoft Certified: Data Analyst Associate

Languages

• English: Fluent
• Zulu: Basic

Advantageous

• Familiarity with big data technologies (e.g., Hadoop, Spark): Experience in working with big data frameworks for large scale data analysis.
• Knowledge of data governance practices: Understanding of data privacy and compliance standards.

Benefits

• Comprehensive medical aid coverage
• Pension fund contributions
• Performance bonuses and incentives
• Work-life balance initiatives

Company Culture

• Inclusive Environment: We value diversity and create an inclusive workplace for all.
• Work-Life Balance: We support flexible working arrangements to maintain work-life harmony.
• Passion for Data: Our culture is driven by a passion for data and its potential to make an impact.