Job Description
We are looking for an experienced and technically versatile Data Analyst who excels in data interpretation, business insight generation, and technical development. This role requires a deep understanding of data architecture, system design, and AI concepts, combined with the ability to translate complex data into actionable business intelligence. The ideal candidate is self-driven, highly analytical, and comfortable working across multiple disciplines and technologies.
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 reporting frameworks.
- 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.
- Utilize advanced MS Excel skills for data manipulation, analysis, and reporting.
- Leverage Power BI for dashboard creation, data visualization, and stakeholder reporting.
Required Skills & Experience
- 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, GCP).
- Familiarity with AI/ML concepts, model lifecycle, and data readiness.
- Proven ability to work independently and manage multiple priorities effectively.
- Excellent communication skills, with the ability to bridge technical and business domains.
- Strong skills in MS Excel (pivot tables, advanced formulas, macros).
- Exposure to Power BI for data visualization and reporting.
Preferred Qualifications
Degree in Computer Science, Data Science, Engineering, or related field.
Experience with tools like Power BI, Tableau or similar.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Banking Jobs in Gauteng
The banking industry in Gauteng, South Africa is a dynamic and growing sector, with a strong demand for skilled professionals. Typically, job seekers in this field can expect to find opportunities across various sectors, including financial services, technology, and manufacturing. Generally, the industry outlook remains positive, with a common expectation of steady growth and expansion.
When it comes to salary expectations, banking positions in Gauteng typically fall within broad ranges, often influenced by factors such as experience, company size, and industry sector. For instance, entry-level positions may start around R400 000 per annum, while senior roles can exceed R800 000. However, please note that these figures are approximate and can vary significantly depending on individual circumstances.
Common skills required for banking roles in Gauteng include proficiency in financial software, strong analytical and problem-solving abilities, excellent communication and interpersonal skills, and a solid understanding of regulatory requirements. Other essential skills often include technical expertise in areas such as accounting, risk management, or compliance. Additionally, many employers place a high value on emotional intelligence, creativity, and adaptability.
The banking industry is commonly found in sectors such as financial services, technology, manufacturing, and corporate finance. Financial services companies, for example, are often major players in the industry, while technology firms may require banking professionals with technical expertise. Manufacturing sector banks also exist, catering to the needs of specific industries.
Career development opportunities abound in the banking industry, with many positions offering clear career progression paths. Typically, entry-level roles can lead to senior management positions or specialized fields such as risk management or compliance. Opportunities for professional development, training, and mentorship are often available within organizations, allowing professionals to build expertise and advance their careers.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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