A Data Analyst collects, processes, and performs statistical analyses on large datasets. They discover how data can be used to answer questions and solve problems, transforming raw data into meaningful insights that help organizations make informed decisions.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data
- Develop and implement databases, data collection systems, and other strategies for data optimization
- Identify patterns and trends in complex data sets
- Interpret data, analyze results using statistical techniques
- Develop and implement data analyses, data collection systems, and other strategies
- Create visualizations and dashboards to present findings
- Filter and clean data by reviewing reports and performance indicators
- Collaborate with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Provide regular reports on insights and findings to relevant stakeholders
Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field
- 1-3 years of experience in data analysis, business intelligence, or related field
- Proficiency in data analysis tools (Excel, SQL, PowerBI, Tableau)
- Experience with statistical analysis and data visualization
- Strong analytical and problem-solving skills
- Attention to detail and accuracy
- Good communication skills for presenting findings
- Understanding of data collection processes
- Ability to work with deadlines and manage multiple projects
Preferred Skills
- Experience with programming languages such as Python or R
- Knowledge of statistical packages (SPSS, SAS, or STATA)
- Experience with data warehousing and ETL processes
- Advanced Excel skills (pivot tables, VLOOKUP, macros)
- Understanding of machine learning techniques
- Experience with big data technologies (Hadoop, Spark)
- Knowledge of data privacy regulations
- Industry-specific experience (finance, healthcare, retail, etc.)
Tools & Technologies
Common tools and technologies used in this role include:
- Database languages: SQL, NoSQL
- Analytics software: Excel, SPSS, SAS
- Data visualization: Tableau, Power BI, QlikView
- Programming: Python, R
- ETL tools: Informatica, Talend, SSIS
- Big data tools: Hadoop, Spark, Hive
- Cloud platforms: AWS, Azure, Google Cloud
Career Path
A Data Analyst can advance to positions such as:
- Senior Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Analytics Manager
- Data Engineer
- Chief Data Officer (CDO)
Salary Range in South Africa
R20,000 – R45,000 per month, depending on experience, technical skills, and industry.
Work Environment
- Office-based with potential for remote work
- Collaborative environment working with various departments
- Project-based work with varying deadlines
- Usually regular working hours with occasional overtime for urgent projects
- Continuous learning environment as technologies evolve
Industry Trends
- Growing integration of AI and machine learning in data analysis
- Increasing importance of data visualization and storytelling
- Shift toward real-time analytics and monitoring
- Greater focus on predictive analytics rather than descriptive
- Rising demand for domain-specific analytical expertise
- Emphasis on data ethics and responsible AI
This job description is intended as a guideline and may be modified to meet specific organizational requirements.
Last updated: April 2025