MI & BI Analyst at Absa Group Limited (Absa)

Job Description

KEY RESPONSIBILITIES 

• Engage with internal business and technical stakeholders to understand requirements and ensure objectives, priorities and key requirements are agreed and understood.  Interpret data and identify issues, risks and opportunities and relay results and insights to business users
• Provide risk, governance, compliance and broader regulatory reporting as required and contribute to these processes as a data expert
• Build the infrastructure that will enable the data pipeline to be utilized to reliably communicate key business metrics and insights to business stakeholders
• Improve the quality and turnaround times of key deliverables through the automation of tasks through the use of appropriate tools / scripting technologies and debugging new /existing scripts and code
• Leverage best practice to build and continually improve on high quality data collection, transformation, storage and retrieval. This includes keeping abreast with existing and emerging techniques and technologies in the data value-chain to identify key pivot points for the business
• Understand the technical landscape and bank-wide architecture that is connected to or dependent on the business to effectively collaborate with teams embedding solutions that impact the Home Loans data value-chain
• Build towards a high performance team environment through continually building towards mastery in a way that is aligned to the team’s purpose
• Conduct peer reviews within the broader analytics community and contribute to the building of an analytics team capability in the use of data solutions
• Proactively partner with the data architecture and data science teams in applying relevant best practice to actively shape the data landscape in the business, with the aim of improving upstream and downstream data processes to support the business
• Stay ahead of the curve on data architecture, engineering and governance trends, tools and techniques to help transition the team and the organization as required

EDUCATION AND REQUIREMENTS 

• Bachelor (Honours) degree in Computer Science, Statistics, Mathematics, Engineering, Science or equivalent NQF level 8 qualification 
• At least 5 years’ postgraduate work experience in a technology / digital / analytics role
• At least 3 years’ work experience in SAS and SQL development, with a view of learning additional tools as required (e.g. Spark)
• Expert knowledge of data warehousing and data architecture solutions and processes
• Expert knowledge of data services, data discovery and visualization tools: DaaS, SSIS, PowerBI

Education

• Bachelor Honours Degree: Physical, Mathematical, Computer and Life Sciences (Required)

Closing Date: 20th, April 2022