Data Analyst x3 (contract)

Postbank (SOC) Ltd; Pretoria; On-site; ZAR 350,000 - 550,000; Full time

Job summary

South African Postbank SOC Limited is seeking a Data Analyst to contribute to MIS dashboards and reports by analysing complex data in line with company rules. You will support data requirements, BI tools adoption, and governance across projects in a banking environment.

The role focuses on delivering validated analytics, developing reports with stakeholders, and ensuring data quality while aligning with POPIA and FSCA standards.

Qualifications

• Bachelor’s degree in CS/IT/Data Science or related field (NQF Level 7).
• Advanced degree or MBA preferred.

Responsibilities

• Contribute to development and improvement of data and analytics-related processes and operational plans.
• Provide input into data requirements and model-design specifications for operational efficiency.
• Stay abreast of BI tools, trends, and new visualization technologies for ongoing innovation.
• Collaborate with BI specialists to integrate analytical outputs into reporting deliverables.
• Develop, maintain and enhance MIS reports, dashboards and outputs with stakeholders.
• Analyse datasets to identify trends, anomalies and performance insights for decision-making.
• Review data to ensure integrity and quality; escalate and propose corrective actions with Senior BI Specialist approval.
• Support integration and monitor performance of reporting solutions; identify and address risks with Senior Specialist approval.
• Prepare and present analytical findings and visual outputs in business-relevant formats.
• Recommend improvements to reporting efficiency, data presentation and accessibility.

Education

Bachelor’s degree in Computer Science, Information Technology, Data Science, or a relevant field (NQF Level 7)

Advanced degree or MBA preferred

Job description

The Data Analyst is responsible for contributing to the development and integration of approved Management Information System (MIS) dashboards and reports through analysing and transforming complex data, in line with company rules and regulations.

Job Responsibilities:

Analytics Input and Support

• Contribute to the development, implementation, and continuous improvement of data and analytics-related processes, procedures and operational plans, in line with departmental and company goals.
• Provide input into data requirements, model-design specifications and needs to support enhancement of operational efficiency within the Analytics team.
• Stay abreast of and provide technical advice and guidance on innovative Business Intelligence (BI) tools, trends and new visualisation technologies in the market to promote ongoing innovation.

Data Analysis and Reporting

• Collaborate with the Senior Business Intelligence (BI) Specialist and Analytics teams to execute assigned projects by integrating advanced analytical outputs into reporting deliverables.
• Develop, maintain, and enhance Management Information Systems (MIS) reports, dashboards, and analytical outputs in collaboration with relevant stakeholders, ensuring achievement of project deliverables and objectives.
• Analyse datasets to identify trends, anomalies, and performance insights that support business decision-making.
• Review data to ensure integrity reliability is maintained across systems, escalating and proposing corrective action / solutions for review and obtain approval by the Senior BI Specialist before implementation of corrective actions.
• Support integration and monitor performance of approved reporting and analytical solution implementation.
• Identify and elevate any risks or concerns to the Senior Specialist for review, while proposing and obtaining approval of solutions for implementation.
• Prepare and present analytical findings and visual outputs in business-relevant format, to inform decision-making.
• Recommend improvements to enhance reporting efficiency, data presentation, and information accessibility.

Data Governance, Compliance and Quality Assurance

• Adhere to all data-governance and reporting standards in compliance with the Protection of Personal Information Act (POPIA), Financial Sector Conduct Authority (FSCA) requirements, and internal company policies, rules, and standards.
• Perform data-quality checks, validations, and reconciliations to maintain accuracy of reports and datasets.
• Maintain documentation of report structures, datasets, and data transformations in relevant data repositories to promote data hygiene, integrity, and reproducibility.
• Identify data risks, concerns, integrity issues, or compliance concerns to the Senior Business Intelligence (BI) Specialist for review and resolution.
• Support continuous improvement initiatives related to data quality, integrity, and governance frameworks.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a relevant field (NQF Level 7)
• Advanced degree or MBA preferred (Ideal)
• 3+ years of experience as a Data Analyst
• Experience in the Banking Industry (Advantageous))

Data Analytics Capability Roadmap:

A phased skills pathway for strengthening data engineering, business intelligence, predictive AI, automation, optimisation and strategic analytics capability.

Phase 1: Core Data & BI Engineering

• Data Pipeline Modernization: Database optimization, automated ETL pipelines and stored procedures.
• Advanced Business Intelligence: Advanced data modeling, context filtering, row-level security and cloud deployment.
• Enterprise Analytics Legacy Integration: Statistical profiling, macro migration and legacy predictive validation.

Phase 2: Predictive AI & Automation

• Behavioral Modeling & Marketing AI: Binary classification and feature engineering for upsell/cross-sell propensity modeling.
• Lead Automation & Income Estimation: Regression trees, ensemble learning and automated lead generation scoring engines.
• Customer Service & Retention AI: Survival analysis, lifetime value estimation and NLP for service ticket intent.

Phase 3: Advanced Optimization & Geo

• Spatial Network Optimization: Location allocation algorithms, spatial clustering and spatial regression.
• Marketing & Media Mix Optimization: Constrained optimization, attribution modeling and marketing mix modeling.
• Strategic Leadership & Architecture: Bridging deep technical capability with executive business decision-making and architecture patterns.

Skills & Attributes:

• Uncompromising integrity, honesty, and professional ethics.
• Respectful and professional conduct at all times.
• Strong personal accountability and ownership.
• A commitment to excellence in every deliverable.
• High levels of resilience and perseverance when facing obstacles.
• Self-motivation and the ability to operate independently.
• Continuous learning and intellectual curiosity.
• Loyalty to team objectives and organisational success.

Disclaimers:

The South African Postbank SOC Limited is committed to the achievement and maintenance of diversity and equity in employment, especially with regard to race, gender and disability. In compliance with the bank’s employment equity plans, we encourage and welcome applications from diverse groups from the South African Employee active population. Correspondence will be limited to short-listed candidates only.

If you do not hear from the South African Postbank SOC Limited or its Agent within 3 months of this advertisement, please accept that your application has been unsuccessful. The South African Postbank SOC Limited reserves the right not to fill the positions or to re-advertise the positions at any time.

POPIA provides that everyone has the right to privacy and it includes a right to protection against the unlawful collection, retention, dissemination and use of personal information. By applying for employment you consent to the processing of your personal information with Postbank. Your personal information and any attached text or documentation are retained by Postbank for a period in accordance with relevant data legislation.