Principal Accountabilities:

(5 to 10 bullets)

The focus of accountabilities is on the end results NOT a task list.

Lead the design, development, and maintenance BI systems and technologies, such as data warehouses, data lakes, dashboards, reports, and data models, using SQL, Python, and other tools.

Collaborate with data analysts, data scientists, and other stakeholders to understand their data requirements and provide data solutions that meet their needs.

Perform data analysis, data validation, and data quality checks to ensure the accuracy and reliability of BI data and outputs.

Implement and refine strong patterns and standards relating to data modelling, data pipelines and change management.

Monthly Reconciliation of Customer / Consumer return goods.

Payment follow ups / matching off invoices in time.

Transformation of data into usable structures.

Optimize 1and improve the performance, scalability, and security of BI systems and technologies.

Create data observability processes to highlight data quality issues and general health of the data products deployed.

Troubleshoot and resolve any data or BI issues that may arise.

Document and communicate BI best practices, standards, and processes.

Stay updated with the latest trends and developments in BI and data analytics.

Supporting end users through training and documentation.

Ensure that data compliance and security requirements are met during system build.