Job Description
About the Role
We are seeking a highly skilled Data Analyst to join our team in Johannesburg. As a key member of our analytics team, you will be responsible for driving business insights and informing data-driven decision-making across various departments. Your expertise in data analysis, software development, and systems architecture will enable you to design and implement scalable data solutions that meet the evolving needs of our organization.
Key Responsibilities
- Perform deep-dive analysis across diverse datasets to uncover trends, anomalies, and business opportunities
- Interpret business and project requirements to design meaningful, actionable data solutions
- Respond to and manage multiple ad hoc reporting requests, ensuring clarity, accuracy, and relevance
- Understand end-to-end data flows, from source systems to reporting layers
- Design and maintain data models that support scalable analytics and reporting
- Collaborate with stakeholders to translate business needs into technical specifications and a reporting framework
- Develop and optimize data pipelines and integrations using modern development practices
- Work with databases such as IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server to extract, transform, and analyse data
- Support AI/ML initiatives by preparing data and contributing to model development and deployment
- Manage own workload and priorities effectively, delivering high-quality outputs independently
- Document findings, methodologies, and data logic clearly for both technical and non-technical audiences
Requirements
- 8 years of experience in data analytics, software development, and systems architecture
- Strong proficiency in SQL, Python, and/or R
- Expertise in enterprise databases: DB2, Oracle, Netezza (NZ), SQL Server
- Solid understanding of data modelling, ETL processes, and system design principles
- Experience with cloud platforms (e.g., Azure, AWS, GC)
- Familiarity with AI/ML concepts, model lifecycle, and data readiness
Qualifications
- Degree in Computer Science, Data Science, Engineering, or related field
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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