Senior Analyst: Analytics and Reporting at Nedbank

Job Purpose

• Drive a cross‑pillar analytics function spanning Client/Commercial, and Capital/Risk, and enhancement of People/HR, with a core focus on portfolio optimisation, data democracy, and deal‑level client analytics. Deliver trusted data foundations, deep insights, and commercial narratives that unlock business value, improve capital efficiency, and accelerate decision‑making across the organisation.
• Seasoned, independent Senior Analyst with 8 years’ experience leading end‑to‑end analytics across Client, and Capital portfolios. Expert in portfolio optimisation, deal‑level profitability analysis, and building self‑service analytical ecosystems. Adept at translating complex data into executive‑ready insights that directly drive revenue, cost & capital optimisation, and capital efficiency. Drive proactive analytics based on detailed client data, with intent to optimise CIB’s portfolio.

Job Responsibilities

Portfolio Optimisation & Commercial Value Delivery

• Build and operationalise a portfolio optimisation framework across HR, Client, and Capital pillars.
• Conduct deal‑level analytics including pricing, RAROC, fee elasticity, and scenario modelling.
• Identify and quantify commercial opportunities, capital efficiencies, productivity improvements, and cost drivers. Detailed Basel 3 knowledge for efficient deal structuring.
• Present optimised portfolio recommendations to Exco, MANCO, cluster heads, and coverage teams.

Data Democracy & Analytics Enablement

• Develop governed semantic models and curated datasets that enable self-service analytics.
• Institutionalise KPI libraries with clear definitions, lineage, and reconciliation to Finance, Risk, and HR.
• Build analytical templates, dashboards, and automation to uplift organisational data literacy.

Cross‑Pillar Insight Integration

• Unify Client, and Capital insights into a single narrative that clarifies trade‑offs and business levers.
• Analyse linkages between workforce health, client outcomes, capital usage, and profitability.
• Own monthly performance packs covering People, Commercial, and Capital dimensions.

Architecting Data Foundations

• Lead the design of analytical data architecture (Power BI, SQL, Python, Azure/Fabric).
• Drive data governance, quality controls, privacy compliance, and model risk management.
• Oversee ingestion, transformation, modelling, and deployment of analytical assets.

Leadership & Stakeholder Engagement

• Cross-functional leadership to achieve cohesive objective
• Engage HR, Coverage, IB, Markets, Finance, Risk/BSM, and Technology stakeholders.
• Challenge thinking, frame decisions, and enable strategic clarity for senior leadership.

Commercial & Capital Expertise

• Deal-level profitability, and adherence to pricing
• RAROC, ROE, RoRWA optimisation including regulatory/economic capital linkage, Basel III impacts, capital attribution.
• Portfolio optimization methodology and trade-off analysis.

Communication & Influence:

• Confident communicator across all levels: frontline, senior management, Exco.
• Skilled in storytelling with data - transforming analysis into compelling narratives.
• Strong presentation skills with ability to influence decision‑making.
• Adept at managing senior stakeholder expectations and driving clarity.

Leadership & Business Skills:

• Strong problem‑solving ability and structured thinking.
• Experience supporting strategic programmes and business performance tracking.
• Collaborative approach with proven ability to work cross‑functionally.
• Capable of stepping into higher‑responsibility roles with ease.
• Mentorship and team development experience.

People & HR Analytics:

• Automation of current processes, data efficiencies, and visualization rebuild
• DEI automation and engagement interpretation, productivity analysis.

Preferred Qualification

• Postgraduate degree in Statistics, Mathematics, Finance, Economics, or Computer Science.
• Beneficial certifications: Fabric, Co-pilot, Power-BI

Analytical & Technical Skills

• Advanced data modelling and analytical capability (SQL, Python, Power BI, Excel).
• Strong predictive modelling and machine learning exposure.
• Data modelling (star, snowflake), semantic modelling, API integration.
• Advanced analytics: forecasting, segmentation, scenario modelling, driver analysis.
• Power BI (executive dashboards, composite models, RLS, incremental refresh).
• Data governance, lineage, documentation, KPI libraries, reconciliations.

Minimum Experience Level

• 8+ years in analytics/BI, preferably in Financial Services and/oror CIB.
• Proven track record of leading cross-functional analytics initiatives.
• Hands-on delivery of end‑to‑end analytical solutions.
• Demonstrated ability to integrate Client, and Capital insights for optimal design and improvement of key KPI’s
• Experience in managing senior stakeholders and presenting to Exco/MANCO.

Professional Knowledge

• Business and Financial terms, definitions and calculations
• Capacity planning and project management
• Change management
• Communication strategies
• Financial and management accounting principles
• Governance, risk, and controls
• Principles of project management
• Strategic planning
• Professional business writing and executive presentation skills
• Business acumen and sound ability to convey narrative

Behavioural Competencies

• Aligning Performance for Success
• Building Partnerships
• Decision Making
• Business Acumen
• Guiding Team Success
• Building partnerships
• Planning and Organizing