Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels.
Perform deep-dive analysis to uncover trends, anomalies, and patterns that inform strategic decisions.
Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic.

From the employer’s posting

Lead the migration from Looker Studio to Microsoft Power BI, rebuilding and significantly enhancing existing reports and dashboards to meet the organisation's evolving analytical needs. Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels. Develop and explore data models in SQL to scope and design change requests for the Data Engineering (DE) team, and conduct high-volume exploratory analysis in non-production environments ahead of production deployment.

Conduct advanced ad hoc analysis across financial, operational, and commercial data sets to answer complex and time-sensitive business questions. Perform deep-dive analysis to uncover trends, anomalies, and patterns that inform strategic decisions. Develop and apply statistical and analytical models to support forecasting, performance measurement, and scenario analysis.

Excel & Microsoft Suite Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic. Automate repetitive Excel-based reporting tasks using macros, VBA, or Power Automate integrations where appropriate.

What you’ll bring

All qualifications

Core experience

3–5 years of proven experience in a BI or data analysis role.
Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous.
Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building.
Experience using AI productivity tools (Claude AI, Microsoft Copilot, or equivalent) in a professional analytics context is strongly advantageous.
Solid SQL skills, including data modelling and exploratory analytics across large data sets.
Understanding of financial principles and reporting is advantageous.

Qualification wording

3–5 years of proven experience in a BI or data analysis role.

Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous.

Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building.

Experience using AI productivity tools (Claude AI, Microsoft Copilot, or equivalent) in a professional analytics context is strongly advantageous.

Solid SQL skills, including data modelling and exploratory analytics across large data sets.

Understanding of financial principles and reporting is advantageous.

Tools in this posting

SQL
Excel
Looker
NumPy
pandas
Python
Power BI
Power Query
Matplotlib

Source

- Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels. - Develop and explore data models in SQL to scope and design change requests for the Data Engineering (DE) team, and conduct high-volume exploratory analysis in non-production environments ahead of production deployment. - Develop and manage Power BI data models and calculated columns; use DAX as a last resort where upstream data modelling cannot resolve the requirement.

- Identify recurring ad hoc requests and productionise those insights into automated dashboards or self-service tools — reducing manual effort, improving consistency, and freeing capacity for higher-value analysis. - Use Python (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation where SQL or Excel alone are insufficient. AI Augmented Analytics (Claud AI & Copilot)

AI Augmented Analytics (Claud AI & Copilot) - Leverage Claude AI to accelerate data analysis, draft analytical narratives, generate and review SQL queries, and automate repetitive reporting tasks. - Use Microsoft Copilot across Excel, Power BI, and Teams to improve the speed, accuracy, and quality of analytical outputs.

- Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building. - Solid SQL skills, including data modelling and exploratory analytics across large data sets. - Experience with Looker Studio or similar BI tools (will support the migration to Power BI).

Advantageous - Additional courses in SQL, data modelling, statistics, or AI applications will be advantageous. - Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous.

- Create and maintain self-service reporting solutions, and actively champion their adoption — educating and enabling business users to become confident, independent consumers of data. - Integrate Power BI with Microsoft 365 tools (Excel, SharePoint, Teams) to embed data insights seamlessly into daily business workflows. - Manage analytics demand effectively by owning and coordinating user requests (UCs), change requests, and business requirements through the agreed prioritisation and delivery process.

- Work with IT and the Data Engineering team to ensure data availability, integrity, and access for analysis — raising change requests professionally through the Jira process. Excel & Microsoft Suite - Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic.

Excel & Microsoft Suite - Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic. - Automate repetitive Excel-based reporting tasks using macros, VBA, or Power Automate integrations where appropriate.

- Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic. - Automate repetitive Excel-based reporting tasks using macros, VBA, or Power Automate integrations where appropriate. - Support the business with Excel-based financial models, variance analysis tools, and structured data templates.

- Experience with Looker Studio or similar BI tools (will support the migration to Power BI). - Advanced Microsoft Excel skills: Power Query, Power Pivot, dynamic arrays, and complex formulas. Advantageous

The purpose of this role is to understand the underlying business drivers and commercial models, and translate this into data and actionable insights. The BI Analyst will work closely with cross-functional teams to gather data requirements, design and develop reporting solutions, and support decision-making by delivering accurate, timely, and comprehensive analysis. A key focus of this role is leading the organisation's migration from Looker Studio to Power BI, establishing best-in-class dashboards within the Microsoft ecosystem, and leveraging AI tools — including Claude AI — to accelerate analytics delivery. What you will do:

Power BI & Dashboard Development - Lead the migration from Looker Studio to Microsoft Power BI, rebuilding and significantly enhancing existing reports and dashboards to meet the organisation's evolving analytical needs. - Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels.

- Solid SQL skills, including data modelling and exploratory analytics across large data sets. - Experience with Looker Studio or similar BI tools (will support the migration to Power BI). - Advanced Microsoft Excel skills: Power Query, Power Pivot, dynamic arrays, and complex formulas.

- Additional courses in SQL, data modelling, statistics, or AI applications will be advantageous. - Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous. - Experience using AI productivity tools (Claude AI, Microsoft Copilot, or equivalent) in a professional analytics context is strongly advantageous.

What you will do: Power BI & Dashboard Development - Lead the migration from Looker Studio to Microsoft Power BI, rebuilding and significantly enhancing existing reports and dashboards to meet the organisation's evolving analytical needs.

- Lead the migration from Looker Studio to Microsoft Power BI, rebuilding and significantly enhancing existing reports and dashboards to meet the organisation's evolving analytical needs. - Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels. - Develop and explore data models in SQL to scope and design change requests for the Data Engineering (DE) team, and conduct high-volume exploratory analysis in non-production environments ahead of production deployment.

- Develop and explore data models in SQL to scope and design change requests for the Data Engineering (DE) team, and conduct high-volume exploratory analysis in non-production environments ahead of production deployment. - Develop and manage Power BI data models and calculated columns; use DAX as a last resort where upstream data modelling cannot resolve the requirement. - Implement row-level security and workspace governance in Power BI to ensure appropriate data access controls across teams.

- Develop and manage Power BI data models and calculated columns; use DAX as a last resort where upstream data modelling cannot resolve the requirement. - Implement row-level security and workspace governance in Power BI to ensure appropriate data access controls across teams. - Create and maintain self-service reporting solutions, and actively champion their adoption — educating and enabling business users to become confident, independent consumers of data.

- Leverage Claude AI to accelerate data analysis, draft analytical narratives, generate and review SQL queries, and automate repetitive reporting tasks. - Use Microsoft Copilot across Excel, Power BI, and Teams to improve the speed, accuracy, and quality of analytical outputs. - Apply prompt engineering skills to extract accurate, contextually relevant outputs from AI tools for real business use cases.

- Higher Education degree in Data Science, Computer Science, Statistics, Business, or a related field. - Microsoft PL-300 Power BI Data Analyst certification is advantageous. - 3–5 years of proven experience in a BI or data analysis role.

- 3–5 years of proven experience in a BI or data analysis role. - Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building. - Solid SQL skills, including data modelling and exploratory analytics across large data sets.

Posting record

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Status in our records: Live
First seen by us: Aug 6, 2026 · 70d ago
Recorded sightings: 31
Last seen by us: Oct 15, 2026

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Job description

View original posting ↗

The purpose of this role is to understand the underlying business drivers and commercial models, and translate this into data and actionable insights. The BI Analyst will work closely with cross-functional teams to gather data requirements, design and develop reporting solutions, and support decision-making by delivering accurate, timely, and comprehensive analysis. A key focus of this role is leading the organisation's migration from Looker Studio to Power BI, establishing best-in-class dashboards within the Microsoft ecosystem, and leveraging AI tools — including Claude AI — to accelerate analytics delivery.

What you will do:

Power BI & Dashboard Development

Lead the migration from Looker Studio to Microsoft Power BI, rebuilding and significantly enhancing existing reports and dashboards to meet the organisation's evolving analytical needs.
Design, build, and maintain Power BI dashboards and reports that communicate complex data clearly and intuitively to business stakeholders at all levels.
Develop and explore data models in SQL to scope and design change requests for the Data Engineering (DE) team, and conduct high-volume exploratory analysis in non-production environments ahead of production deployment.
Develop and manage Power BI data models and calculated columns; use DAX as a last resort where upstream data modelling cannot resolve the requirement.
Implement row-level security and workspace governance in Power BI to ensure appropriate data access controls across teams.
Create and maintain self-service reporting solutions, and actively champion their adoption — educating and enabling business users to become confident, independent consumers of data.
Integrate Power BI with Microsoft 365 tools (Excel, SharePoint, Teams) to embed data insights seamlessly into daily business workflows.
Manage analytics demand effectively by owning and coordinating user requests (UCs), change requests, and business requirements through the agreed prioritisation and delivery process.

Advanced Ad-Hoc Analytics

Conduct advanced ad hoc analysis across financial, operational, and commercial data sets to answer complex and time-sensitive business questions.
Perform deep-dive analysis to uncover trends, anomalies, and patterns that inform strategic decisions.
Develop and apply statistical and analytical models to support forecasting, performance measurement, and scenario analysis.
Translate raw data into structured insights with clear narrative and visual context for executive and management audiences.
Support the FP&A team with data-driven modelling for budgeting, forecasting, and business reviews.
Identify recurring ad hoc requests and productionise those insights into automated dashboards or self-service tools — reducing manual effort, improving consistency, and freeing capacity for higher-value analysis.
Use Python (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation where SQL or Excel alone are insufficient.

AI Augmented Analytics (Claud AI & Copilot)

Leverage Claude AI to accelerate data analysis, draft analytical narratives, generate and review SQL queries, and automate repetitive reporting tasks.
Use Microsoft Copilot across Excel, Power BI, and Teams to improve the speed, accuracy, and quality of analytical outputs.
Apply prompt engineering skills to extract accurate, contextually relevant outputs from AI tools for real business use cases.
Stay ahead of AI developments relevant to BI and analytics — proactively identifying, trialling, and evaluating new tools and approaches that could benefit the team.
Document AI-assisted workflows and share learnings across the team to build broader capability and a culture of AI-first thinking.

Data Collection, Modelling & Governance

Gather, cleanse, reconcile, and transform data from multiple sources to ensure accuracy and integrity across all reporting.
Develop and maintain data models, pipelines, and documentation in line with governance standards and best practices.
Implement data quality checks and validation processes across all BI solutions before they reach production.
Maintain data dictionaries and ensure consistency in definitions and terminology across the organisation.
Work with IT and the Data Engineering team to ensure data availability, integrity, and access for analysis — raising change requests professionally through the Jira process.

Excel & Microsoft Suite

Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic.
Automate repetitive Excel-based reporting tasks using macros, VBA, or Power Automate integrations where appropriate.
Support the business with Excel-based financial models, variance analysis tools, and structured data templates.

Business Collaboration & Stakeholder Engagement

Work closely with business units to understand their goals and challenges, providing data-driven recommendations that support strategic decision-making.
Present findings and insights to management and stakeholders in a clear, concise, and impactful way — translating complexity into accessible narratives.
Collaborate with the Finance Team on all aspects of reporting, including deadlines, deliverables, and iterations.
Manage multiple concurrent analytics projects, balancing urgency and complexity effectively.

Continuous Improvement & Innovations

Identify opportunities to streamline and improve existing BI processes and reporting methods.
Stay current with industry trends and best practices in data analytics, business intelligence, and AI tooling.
Contribute to the development and implementation of new BI tools, standards, and solutions.

Requirements

What we are looking for:

Essential

Higher Education degree in Data Science, Computer Science, Statistics, Business, or a related field.
Microsoft PL-300 Power BI Data Analyst certification is advantageous.
3–5 years of proven experience in a BI or data analysis role.
Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building.
Solid SQL skills, including data modelling and exploratory analytics across large data sets.
Experience with Looker Studio or similar BI tools (will support the migration to Power BI).
Advanced Microsoft Excel skills: Power Query, Power Pivot, dynamic arrays, and complex formulas.

Advantageous

Additional courses in SQL, data modelling, statistics, or AI applications will be advantageous.
Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous.
Experience using AI productivity tools (Claude AI, Microsoft Copilot, or equivalent) in a professional analytics context is strongly advantageous.
Understanding of financial principles and reporting is advantageous.
Previous experience in a multinational or fin-tech environment is advantageous.

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Centurion, South Africa

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