Business Analyst à Singapour

Who are we?

Sanlam Life and Savings (SLS) focuses on serving retail and corporate clients in South Africa, developing strategic advantages in the South African market. SLS comprises business units such as Retail Mass, Corporate, Risk and Savings, Glacier, and various enabling functions. The Sanlam Life and Savings Office provides strategic direction, coordination, and governance oversight to meet business objectives.

What will you do?

Main responsibilities:

1. Data Modelling

• Proficiency in database design, data modelling, and ETL processes
• Experience with data modelling tools (e.g., Erwin, Power Designer, ER/Studio)
• Design Data Models and Raw Vaults independently
• Design and document Business Vaults
• Use data modelling tools like Visio or ER/Studio effectively

• Collaborate with stakeholders to design Raw Vault data models using DV
• Manage business glossary and metadata for data discovery within the Enterprise Vault Layer
• Work with developers to review and implement vaults of source systems
• Coordinate with scrum masters and developers for vault deployment across environments
• Ensure data completeness, consistency, and accuracy through automation (data debugging)

• Translate business requirements into specific data needs, identify data sources, tools, and techniques
• Build and implement technical solutions supporting data initiatives
• Write scripts (SQL, Python, etc.), proficient in SQL and other languages
• Automate testing solutions and define UAT tests, seeking automation opportunities

• Engage with Business and Developers to bridge requirements and solutions
• Present data modelling findings effectively to non-technical stakeholders

What will make you successful in this role?

Qualifications

• Diploma/Degree in IT, Statistics, Data, or Computer Science/Engineering (recommended)
• Experience in data modelling, warehousing, analysis, and profiling
• Business or Systems Analyst certification (advantageous)

Knowledge and Experience

• Over 2 years of experience in data modelling or data warehouse development
• Strong knowledge of relational databases or Hadoop, data modelling (Kimball or Data Vault), and SQL
• Understanding of BI and Data Warehousing lifecycle
• Ability to work under pressure and manage priorities
• Financial services experience is an advantage
• Analytical, problem-solving, and communication skills
• Experience with multiple data sources and databases
• Experience in agile environments, SharePoint, JIRA, and Confluence

Personal Attributes

• Interpersonal savvy, independent decision-making, work process optimization, planning and alignment

Core Competencies

• Resilience, collaboration, innovation, customer focus, results-driven

Turnaround time

The shortlisting process begins after the application due date (13 May 2025). Duration depends on progress and manager availability.

Build a successful career with us

We value strong relationships with our employees, supporting career growth, personal development, and achievement. Our diverse business clusters offer numerous opportunities for advancement.

Our commitment to transformation

We are committed to diversity, inclusion, and transformation, considering Employment Equity targets during the selection process.