Asset Management BI Developer

This role is based at Nedgroup Investments. Our website is :
Nedgroup Investments is an award-winning global investment business with a growing presence in Europe. Nedgroup Investments offers a wide range of investment solutions for retail and institutional investors. Nedgroup Investments is a division of Nedbank Group Ltd leveraging the investment and financial expertise of one of South Africas largest financial services groups. The Nedgroup Investments Best of Breed philosophy sees us partner with select fund managers who we believe are able to provide consistent long-term outperformance for our clients. These fund managers are experts in their field of specialisation and we tend to partner with them for long periods of time giving them sufficient opportunity to deliver on their mandate objectives. We obsess about long-term performance and our top priority is to deliver a superior investment experience for our believe in employing highly motivated sharp and quality orientated people that thrive in a culture that celebrates and supports diversity within an environment that is creative collaborative challenging and dynamic. Aligned to our core purpose of enabling our investors to achieve their investment goals we are committed to enabling our staff achieve their full potential and long-term career growth at Nedgroup Investments.

This role is based in Cape Town Waterfront V&A.

To deliver high-quality investment-focused business intelligence and data solutions that enable strategic decision-making. The role focuses on translating stakeholder requirements into scalable data models dashboards reports and insights that support all business areas.

• Design develop and maintain BI solutions (reports dashboards semantic models) using tools such as Power BI
• Translate business requirements into scalable data models and reporting solutions
• Deliver trusted data products supporting:
  o Client engagement and sales analytics
  o Platform and flows insights (AUM inflows/outflows)
• Develop and maintain data pipelines and transformations across enterprise platforms
• Build physical data models aligned to various domains
• Ensure data quality reconciliation and alignment across systems providing data
• Partner with cross-departmental teams to define data requirements
• Facilitate requirement-gathering sessions and translate into actionable BI deliverables
• Provide advisory on data-driven decision-making and insight generation
• Apply advanced analytics and data mining techniques to identify trends and opportunities
• Develop clear compelling data stories for business stakeholders and executives
• Ensure adherence to enterprise data standards governance frameworks and regulatory requirements (e.g. ASISA reporting)
• Maintain data lineage definitions and metadata
• Maintain critical data processes and control checks
• Ensure integrity of reporting outputs
• Collaborate with other Developers Analysts Architects and other Stakeholders
• Contribute to development delivery cycles ensuring alignment to SLAs and quality standards
• Support UAT production support and continuous improvement initiatives
• Support AI and advanced analytics initiatives (e.g. predictive insights automation Copilot-enabled reporting)
• Identify opportunities to enhance BI through automation apps self-service and data products
• Measurable contribution to the organisations AI maturity journey
• Share best practices standards and industry trends with the BI team
• Contribute to reusable assets templates and playbooks
  
  

• Microsoft Certified: Power BI / MS Fabric / Azure DevOps
• BI Developer courses or certification
• Dimensional modelling
• Data Management certifications
• Business Analysis certification
• AI Developer courses
• Excel Power Query
• Power Platform

• 4 years experience in BI / Data Analytics (asset management or financial services preferred but not essential)

Core Skills

• Power BI (advanced) data modelling visualization
• SQL / Database querying (advanced)
• Python
• Data modelling (star schemas semantic model building)
• Data pipelines and ETL/ELT (Azure / Fabric / SQL Server environments)
• Data analysis and interpretation (advanced)
• Data storytelling and visualization (advanced)
• Data profiling cleansing and quality management
• Metadata and data governance principles

• Design thinking and problem solving
• Business analysis and requirement translation
• Understanding of AI/ML concepts (beneficial)
• Understanding of Unit trusts / investment products Asset flows AUM and performance metrics Client segmentation and distribution channels

• Stakeholder engagement and influencing
• Strong delivery focus and execution discipline
• Collaboration across business and technical teams
• Continuous learning and innovation mindset
• High quality orientation and attention to detail

Preference will be given to individuals from underrepresented groups.