Job: Data Governance & Data Quality Analyst Intern

Company : Sanlam; Wes-Kaap; On-site; ZAR 100,440 - 167,400; Full time

Job summary

Sanlam is offering a Data Governance & Data Quality Analyst Intern position. You will apply data science techniques to deliver insights for clients and the business, using ML languages (R/Python/Julia) and SQL to analyze data and share findings with business users.

Key responsibilities include assisting with data quality rules, monitoring data quality issues, and supporting reporting and insights delivery under moderate supervision.

Qualifications

• Matric (minimum school leaving qualification).
• Diploma or Degree in Computer Science, Information Systems, Informatics, Software Development, Data Science, Data Analytics or Information Technology.

Responsibilities

• Assist in creating data quality rules and mappings.
• Monitor and investigate data quality issues.
• Support the delivery of data quality reporting and insights.

Skills

Data quality

Data governance

SQL

Python

Education

Matric

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

Job description

Data Governance & Data Quality Analyst Intern

Responsible for utilizing data science to deliver value to our clients and the business. This includes providing statistical analysis, forecasting, predictive modeling, simulation, machine learning, and optimization to discover trends, opportunities, and threats. Findings should be shared regularly with business users in a collaborative fashion. Remaining current with developments in data science technology and methodologies. Must be proficient in an ML language such as R, Python, or Julia and in SQL. Requires moderate supervision.

Key Responsibilities

• 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.

Qualifications

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