Data Analyst

Job Description

We are on the lookout for a talented Data Analyst to join our Johannesburg team. The successful candidate will be responsible for interpreting data, analyzing results, and providing ongoing reports that will guide business strategies. If you have a knack for data and a passion for turning numbers into actionable insights, this may be the perfect fit for you. You will work closely with different departments to develop strategies for optimizing performance and ensuring the accuracy of data reporting.

Responsibilities

• Utilize statistical tools to interpret data and produce actionable insights.
• Collaborate with cross-functional teams to define data-driven goals.
• Design and maintain relational databases for effective data storage.
• Summarize findings and present results to non-technical stakeholders.
• Participate in training sessions to educate staff on data analysis techniques.
• Stay updated on industry trends and technologies in data analytics.
• Ensure timely delivery of reports and analytics projects.

Requirements

Education

• Bachelor's degree in Data Science, Statistics, or related field
• Master's degree is a plus

Experience

• Minimum of 3 years of experience as a Data Analyst or in a related field

Technical Skills

• Excel
• SQL
• Python
• Tableau

Soft Skills

• Attention to Detail
• Communication Skills
• Analytical Thinking

Certifications

• Certified Analytics Professional (CAP)
• Google Data Analytics Professional Certificate

Languages

• English: Fluent

Advantageous

• Experience with R: Knowledge of R for statistical analysis and data visualization.
• Familiarity with Machine Learning Concepts: Understanding of basic machine learning techniques and applications.

Benefits

• Medical aid contributions
• Annual bonuses based on performance
• Flexible working hours
• Opportunities for training and development

Company Culture

• Team Collaboration: We encourage a collaborative environment where team members share ideas and strategies.
• Innovative Thinking: We value creativity and innovative solutions to data challenges.
• Commitment to Growth: We invest in our employees’ development through training and workshops.