Data Engineer Analyst (FinSurv) - EvdB

About the position

• Define business processes and value chains relevant to FinSurv


• Identify, optimise, and integrate business processes, value streams and operating model


• Interpret and implement industry process standards and frameworks (e.g., APQC, Togaf)


• Analysis, design, development of business process to improve systems, data, information and people skills within specific functional areas.


• Review current state processes and identify problem areas, inefficiencies, and control weaknesses.


• Proactively identify improvement opportunities and recommend alternative solutions to business owners


• Identifying and assessing automation opportunities within FinSurv and provide recommendations for application


• Develop detailed business process flows and include how technology solutions will enable the business processes.


• Contribute and advise on developing Target Operating models and related artifacts


• Provide process documentation and operating instructions


• Conduct and contribute to process asset management such as repository content management, methodology and related artefacts


• Collaborate with key stakeholders such as architects, SMEs, process owners, technical experts to ensure viable and sustainable solutions.

Minimum Requirements:

Minimum qualification required:

• Degree or Diploma in – Information Technology, Engineering, Informatics or Business Information Systems, Computer Science

Minimum Experience Required:

• A minimum of 7- 10 years relevant experience


• At least 5 years proven work experience strictly in data engineering and data warehousing


• Experience in ETL tools such as Informatica and Oracle will be an advantage

 



The following will be an added advantage:

• Experience in database technologies such as Teradata and Oracle


• Experience in PowerBI and or SAS


• Experience in programming languages such as R and Pyton


• Experience with ML/AI capabilities.


• Experience working with Data governance frameworks such as DAMA

 



Knowledge & Skills:

• Knowledge of data warehousing and data modelling


• Knowledge of data privacy and related privacy polices


• Knowledge and experience on Data Migrations and data audits


• Knowledge and experience cloud applications


• Knowledge and experience with data governance frameworks such as DAMA

Desired Skills:

• data engineering
• data warehousing
• ETL tools
• Informatica
• Data governance frameworks
• Python
• ML