Senior Data Analyst - Banking, Data Warehousing & BI

Boardroom Appointments; Sandton; On-site; ZAR 520,000 - 900,000; Full time

Job summary

Boardroom Appointments is seeking a seasoned Data Analyst in Gauteng to enhance dashboards and analytics within a data governance framework.

You will leverage business intelligence tools to deliver analytical solutions, ensure data quality, and support strategic decision making across banking processes.

Requirements include a Bachelor's degree or Diploma in Computer Science or related field, 5+ years in data analysis, understanding of data warehousing concepts, and banking industry experience.

Qualifications

• Bachelor’s degree or Diploma in Computer Science or related field is required.
• Minimum of 5 years of experience in data analysis, statistical analysis, and/or statistics.
• An understanding of data warehousing concepts is required.
• Understanding of Data Analytics, Governance, Risks and Controls.
• Institute of Internal Auditor standards.
• Principles of Project Management required.
• Banking experience required.

Responsibilities

• Utilizes business intelligence tools to enhance dashboards and reports.
• Supplies analytical solutions to inform strategic decisions.
• Ensures data is consistent, complete, and accurate.
• Creates data quality solutions for precise metric predictions.
• Profiles source data and maps data flows to enable ETL between systems.

Skills

Data analytics

Data warehousing concepts

Governance & controls

Statistical analysis

Project management

Banking experience

Education

Bachelor's degree or Diploma in Computer Science or related field

Tools

BI tools

Job description

Boardroom Appointments is seeking a seasoned Data Analyst in Gauteng to enhance dashboards and analytics within a data governance framework.

You will leverage business intelligence tools to deliver analytical solutions, ensure data quality, and support strategic decision making across banking processes.

Requirements include a Bachelor's degree or Diploma in Computer Science or related field, 5+ years in data analysis, understanding of data warehousing concepts, and banking industry experience.