Intern: Data Governance & Data Quality Analyst at Sanlam Group

What will you do?

• Responsible for utilising data science to deliver value to our clients and business. This includes providing statistical analysis, forecasting, predictive modelling, simulation, machine learning and optimisation to discover trends, opportunities and threats.
• Findings should be shared regularly with business users in a collaborative fashion. Remains current with developments in data science technology and methodologies.
• Must have proficiency in ML language e.g. R, Python or Julia. Must be proficiency in SQL. Requires moderate supervision.

What will make you successful in this role?

Data Quality

• Analyse and profile source data.
• Assist in the creation of data quality rules and mappings.
• Monitor and investigate data quality issues.
• Support the delivery of data quality reporting and insights.

Metadata Management

• Maintain accurate and complete metadata records.
• Support business users in the capture and maintenance of metadata.
• Assist with metadata reporting and analysis.
• Support metadata solution enhancements and configuration activities.

Platform Support

• Monitor platform processes and scheduled jobs.
• Support user access administration.
• Assist with troubleshooting and issue resolution.
• Maintain operational and support documentation.

Stakeholder Engagement

• Work effectively with business and technical stakeholders.
• Participate in requirement gathering and analysis activities.
• Communicate clearly and professionally.
• Demonstrate a willingness to learn and develop new skills.

Qualification

• Matric.
• Diploma or Degree in Computer Science, Information Systems, Informatics, Software Development, Data Science, Data Analytics or Information Technology.

Advantageous

• Exposure to SQL, reporting tools or data analysis.
• Understanding of databases and data concepts.
• Exposure to programming or scripting concepts.

Knowledge and Skills

• Data Analysis.
• Data Collection.
• Data Profiling.
• Problem Solving.
• Metadata Management Concepts.
• Data Quality Concepts.
• Reporting and Dashboarding.
• Business Analysis Fundamentals.
• Documentation and Process Mapping.
• New Technologies and Methodologies.