Data Analyst

Job Description

Join our dynamic team as a Data Analyst in Pretoria. You will play a crucial role in transforming raw data into meaningful insights, aiding in strategic decision-making processes. The ideal candidate will bring a strong analytical mindset and be adept at using analytical tools to handle large datasets. If you are passionate about data-driven solutions and eager to make an impact, we want to hear from you!

Responsibilities

• Leverage analytics tools to derive insights from data.
• Prepare comprehensive reports for strategic decision-making.
• Collaborate with IT teams to ensure data accessibility.
• Advise stakeholders on data analysis and interpretation.
• Utilize SQL for data extraction and manipulation.
• Document processes and maintain data management protocols.
• Provide training and support for team members on data tools.
• Explore new methodologies and technologies in data analytics.

Requirements

Education

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

Experience

• 3-5 years of relevant experience in data analytics

Technical Skills

• Excel
• SAS/SPSS

Soft Skills

• Critical thinking
• Problem-solving

Certifications

• Certified Data Scientist

Languages

• English: Fluent

Advantageous

• Experience in machine learning techniques: Hands-on experience implementing machine learning algorithms for predictive analytics.
• Knowledge of cloud platforms like AWS or Azure: Experience in utilizing cloud platforms for analyses and data storage.

Benefits

• Comprehensive health insurance plan
• Retirement savings plan with employer contributions
• Ongoing training and certification programs
• Work-life balance initiatives

Company Culture

• Employee Wellbeing: We prioritize employee wellbeing through various health and wellness programs.
• Continuous Learning: Our commitment to continuous learning ensures that employees can develop and grow their skills.
• Recognition and Rewards: We celebrate achievements and recognize contributions of team members regularly.