Digital Analyst: Data & Business (SP6) - Digital Transformation: Capricorn Asset Management
Position summary
Introduction
Job description
KEY PERFORMANCE AREAS
Data Analytics & Business Insights
· Analyse data to identify trends, risks, opportunities, and performance improvement initiatives.
· Develop and maintain dashboards, reports, and performance metrics to support business decision-making.
· Perform customer, operational, and market analysis to support strategic and operational objectives.
· Monitor key performance indicators and identify optimisation opportunities across business processes and digital channels.
· Validate data accuracy and reporting outputs through data quality and reconciliation processes.
· Support the development of analytical datasets and self-service reporting capabilities.
· Promote data-driven decision-making through effective reporting, visualisation, and communication of insights.
· Assist in identifying opportunities to leverage predictive analytics and AI-driven insights.
Business Analysis & Process Improvement
· Elicit, analyse, and document business requirements, user stories, business rules, and functional specifications.
· Facilitate workshops, interviews, and stakeholder engagements to gather and validate requirements.
· Analyse and document current and future-state business processes and customer journeys.
· Identify opportunities for process optimisation, automation, and digital enablement.
· Analyse data flows and identify process, data quality, governance, and integration risks.
· Maintain requirements documentation, process maps, and backlog items throughout project lifecycles.
· Ensure data and reporting requirements are incorporated into solution designs.
Data Management & Governance
· Support the implementation and ongoing maturity of the organisation’s Data Management Framework.
· Collaborate with Data Owners and Data Stewards to improve data quality, governance, and accountability.
· Assist with data profiling, data quality assessments, and remediation activities.
· Support the maintenance of business glossaries, data definitions, and metadata documentation.
· Contribute to master and reference data management activities across business domains.
· Assist in identifying and resolving duplicate, inconsistent, or incomplete data.
· Support data lineage, traceability, and auditability initiatives within reporting and analytics environments.
· Monitor and report on data quality metrics and governance-related KPIs.
Digital Solutions & Automation
· Identify opportunities to improve business processes through workflow automation and digital solutions.
· Support the design, implementation, and optimisation of digital initiatives, including customer-facing and internal solutions.
· Contribute to continuous improvement initiatives and process standardisation efforts.
· Collaborate with Group IT and business teams to support technology-enabled transformation projects.
· Assist with solution evaluations, business cases, and benefits realisation activities.
Agile Delivery & Quality Assurance
· Support backlog management and prioritisation activities.
· Define acceptance criteria and assist with the development of test scenarios and test cases.
· Support system testing, user acceptance testing, and defect management processes.
· Validate delivered solutions against business requirements and expected outcomes.
· Ensure requirements remain aligned with business objectives throughout project delivery.
AI & Emerging Technology Enablement
· Identify opportunities for the application of Artificial Intelligence, Generative AI, and intelligent automation within business processes.
· Support the development and evaluation of AI use cases and proof-of-concept initiatives.
· Assist with ensuring data readiness and quality for AI-enabled solutions.
· Contribute to AI-driven analytics, knowledge management, customer engagement, and operational efficiency initiatives.
· Maintain awareness of emerging technologies and recommend practical opportunities for adoption.
Stakeholder Engagement & Communication
· Communicate insights, project progress, and recommendations to technical and non-technical stakeholders.
· Collaborate with business, technology, risk, compliance, and operational teams.
· Support governance forums, working groups, and project steering activities as required.
· Prepare reports, presentations, and documentation to support decision-making.
· Act as a liaison between business and technology teams to ensure alignment and successful delivery outcomes.
COMPETENCIES REQUIRED
· Analytical Thinking and Problem Solving
Minimum requirements
KNOWLEDGE & EXPERIENCE
· 3–5 years’ experience in business analysis, data analytics, digital transformation, or related roles.
· Experience gathering and documenting business and functional requirements.
· Experience analysing and interpreting data to support business decision-making.
· Experience with reporting and data visualisation tools such as Power BI or similar platforms.
· Understanding of data governance, data quality, and information management principles.
· Exposure to workflow automation, process improvement, or digital transformation initiatives.
· Understanding of Agile methodologies and software delivery lifecycles.
· Exposure to AI, machine learning, or intelligent automation initiatives will be advantageous.
· Experience within financial services, banking, investments, or related industries will be advantageous.
QUALIFICATIONS
· Bachelor’s Degree in Information Technology, Information Systems, Computer Science, Data Analytics, Business Analysis, Commerce, or a related field.
Advantageous Certifications
· Agile Certification (SAFe, Scrum, Agile Business Analysis or equivalent)
· Business Analysis Certification (IIBA ECBA, CCBA, CBAP or equivalent)
· Data Analytics or Power BI Certification
· Data Management or Data Governance Certification
· AI, Automation, or Digital Transformation-related certifications
