The Focus Group
Data Analyst (Contract)
Sandton
The Focus Group Sandton, South Africa 01 April 2026 Mid / Senior 1000 - 10000 Contract Cost to Company 5 years - 8 years Skills SQL Python R IBM DB2 Oracle SQL Server Data Modeling Data Architecture Power BI VBA Industries Banking Financial Services Job Description
Our client is seeking a highly experienced, technically versatile Data Analyst who combines deep analytical expertise with strong system design and development skills. This role is ideal for someone who is curious, self-driven, and comfortable operating across data analytics, data engineering, and AI/ML readiness. You will work with complex datasets, modern data platforms, and enterprise database systems to deliver insights, scalable models, and business intelligence solutions.
Key Responsibilities
Conduct deep-dive analysis across large and diverse datasets to uncover trends, anomalies, and business opportunities.
Translate business requirements into actionable data insights and analytical solutions.
Respond to and manage multiple ad hoc reporting requests with accuracy and clarity.
Data Architecture & Modelling
Understand end-to-end data flows from source systems to reporting layers.
Design, develop, and maintain scalable data models supporting analytics and reporting.
Document methodologies, data logic, and findings for technical and non-technical audiences.
Technical Development & Data Engineering
Develop and optimise ETL pipelines and data integrations using modern development practices.
Work with enterprise databases such as IBM DB2, Oracle, Netezza (NZ), and SQL Server for data extraction, transformation, and analysis.
Support AI/ML initiatives by preparing high-quality datasets and contributing to model development.
Stakeholder Collaboration & Reporting
Liaise with business stakeholders to convert needs into technical specifications and reporting frameworks.
Build dashboards and visualisations using Power BI for effective stakeholder reporting.
Utilise advanced MS Excel techniques (pivot tables, complex formulas, macros) to support analysis and reporting.
Work Management
Manage priorities and deliver high-quality work independently with minimal supervision.
Required Skills & Experience
8+ years’ experience in data analytics, software development, or systems architecture.
Strong proficiency in SQL, Python, and/or R .
Expertise with enterprise databases: DB2, Oracle, Netezza, SQL Server .
Solid understanding of data modelling, ETL processes, and system design principles.
Experience with cloud platforms (Azure, AWS, or GCP).
Familiarity with AI/ML concepts and data readiness for modelling.
Excellent communication skills, able to bridge business and technical contexts.
Strong MS Excel skills (advanced formulas, macro/VBA, pivot tables).
Experience with Power BI or similar BI tools.
Preferred Qualifications
Degree in Computer Science, Data Science, Engineering, or related field.
Additional analytics/BI tool experience (Tableau, Power BI, etc.).
Our client is seeking a highly experienced, technically versatile Data Analyst who combines deep analytical expertise with strong system design and development skills. This role is ideal for someone who is curious, self-driven, and comfortable operating across data analytics, data engineering, and AI/ML readiness. You will work with complex datasets, modern data platforms, and enterprise database systems to deliver insights, scalable models, and business intelligence solutions.
Key Responsibilities
Conduct deep-dive analysis across large and diverse datasets to uncover trends, anomalies, and business opportunities.
Translate business requirements into actionable data insights and analytical solutions.
Respond to and manage multiple ad hoc reporting requests with accuracy and clarity.
Data Architecture & Modelling
Understand end-to-end data flows from source systems to reporting layers.
Design, develop, and maintain scalable data models supporting analytics and reporting.
Document methodologies, data logic, and findings for technical and non-technical audiences.
Technical Development & Data Engineering
Develop and optimise ETL pipelines and data integrations using modern development practices.
Work with enterprise databases such as IBM DB2, Oracle, Netezza (NZ), and SQL Server for data extraction, transformation, and analysis.
Support AI/ML initiatives by preparing high-quality datasets and contributing to model development.
Stakeholder Collaboration & Reporting
Liaise with business stakeholders to convert needs into technical specifications and reporting frameworks.
Build dashboards and visualisations using Power BI for effective stakeholder reporting.
Utilise advanced MS Excel techniques (pivot tables, complex formulas, macros) to support analysis and reporting.
Work Management
Manage priorities and deliver high-quality work independently with minimal supervision.
Required Skills & Experience
8+ years’ experience in data analytics, software development, or systems architecture.
Strong proficiency in SQL, Python, and/or R .
Expertise with enterprise databases: DB2, Oracle, Netezza, SQL Server .
Solid understanding of data modelling, ETL processes, and system design principles.
Experience with cloud platforms (Azure, AWS, or GCP).
Familiarity with AI/ML concepts and data readiness for modelling.
Excellent communication skills, able to bridge business and technical contexts.
Strong MS Excel skills (advanced formulas, macro/VBA, pivot tables).
Experience with Power BI or similar BI tools.
Preferred Qualifications
Degree in Computer Science, Data Science, Engineering, or related field.
Additional analytics/BI tool experience (Tableau, Power BI, etc.).
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