Business Intelligence Analyst - Cape Town at Glencore

• Join us as a Business Intelligence Analyst where you will design and deliver analytic solutions that translate complex data into clear, actionable insights for stakeholders across the business. You will work closely with business analysts, data engineers, and internal customers to ensure that reporting and analytics solutions are accurate, performant, well-governed, and genuinely useful. While Power BI remains the primary reporting platform, you will also help the business explore modern analytics approaches including predictive and prescriptive analytics, near-real-time insights, conversational BI, embedded analytics, and analytics driven applications.
• Beyond traditional reporting, you will be expected to advise the business on modern analytics approaches – including predictive and prescriptive analytics, real-time data, conversational BI, and embedded analytics – helping stakeholders move beyond basic tables and list reports toward more meaningful, leading-indicator thinking.
• You will play an active role in defining how data is visualised, ensuring dashboards are engaging and purposeful, and will champion best practices in query efficiency, data modelling, and BI tool usage across a shared capacity environment.

Responsibilities:

• Lead requirements discovery with internal customers to understand the underlying business problem, decision context, and intended actions, using wireframing and challenging assumptions where necessary.
• Translate business requirements into technical specifications for analytics solutions that are accurate, performant, and visually compelling.
• Advise stakeholders on effective visual communication of metrics using best-practice data visualisation principles.

Data Modelling and Report Development

• Design, develop, and maintain interactive dashboards and reports using Power BI or similar BI tools.
• Configure alerts and notifications that proactively highlight key operational thresholds or risks.
• Design, maintain, and promote reusable semantic models.
• Leverage curated data from the department’s Synapse Lakehouse.
• Engage intelligently with data engineers to influence upstream data design where required.

Modern Analytics

• Guide the business toward predictive and prescriptive analytics, helping stakeholders identify leading indicators and think more strategically about the data they hold.
• Design and support solutions that handle streaming and near-real-time data, where operational needs demand it.
• Implement and support conversational BI capabilities, including natural language querying.

Analytics Applications and Enhanced Interactivity

• Identify and use cases where traditional BI dashboards are insufficient and enhanced interactivity or application‑style experiences are required.
• Design and prototype lightweight analytics applications or embedded experiences to support decision‑making, scenario analysis, or operational workflows.
• Integrate governed data, analytical logic, and KPIs into custom front-end experiences while ensuring consistency with core BI outputs.
• Apply basic front‑end and interaction design concepts (layout, state, user flows, purposeful animation) to create intuitive user experiences.
• Use AI‑assisted development tools to accelerate experimentation and prototyping while maintaining solution quality and maintainability.

Continuous Improvement

• Stay current with emerging BI technologies and industry best practices.
• Identify and implement opportunities to enhance BI processes and reporting efficiency.
• Contribute to data governance, standards, and best-practice initiatives.

The ideal candidate will have:

• Bachelor’s Degree in Computer Science, Information Technology, or equivalent
• PL-300 Power BI Data Analyst Associate certification preferred.
• DP-600 Fabric Analytics Engineer Associate certification advantageous.
• Certification in data analysis or additional BI tools (e.g., Tableau, Qlik) is advantageous.
• Training or coursework in data visualisation and storytelling is advantageous.

Experience and Competencies

• 3+ years' experience as a BI Analyst or within a similar data and analytics environment.
• Advanced proficiency in Power BI, including DAX, data modelling, dashboard development, and performance optimisation.
• Strong SQL capability with experience in developing efficient queries and managing data within a shared-capacity environment.
• Proficiency in Python and/or R for advanced analytics, automation, modelling, prototyping, and building lightweight analytical applications or internal tools (e.g. Streamlit, Dash).
• Experience with embedded analytics across enterprise platforms such as ERP, CRM, CTRM, EHS, or GRC systems.
• Experience leveraging AI-assisted tools to enhance analytics, reporting, automation, or prototyping in a responsible and transparent manner.
• Strong analytical and problem-solving capability, with the ability to convert complex datasets into actionable insights, diagnose data quality issues, and resolve complex analytical challenges.
• Effective communication skills with the ability to translate complex data into clear insights for non-technical audiences, advise on engaging data visualisations, and guide stakeholders toward more sophisticated analytical approaches.
• Ability to prototype, experiment, and iterate quickly, with sound judgment on when solutions are production ready.
• Comfortable operating within agile and hybrid delivery environments, with a proactive approach to improving data usage and a curiosity towards emerging analytics technologies and rapid application development.