Company Description
We’re re-imagining mining to improve people’s lives. That includes the lives of everyone who works for Anglo American. We strive to be a great company where employees are happy, inspired to do their best work. A place where every colleague can grow, develop and realise their potential. To live up to our Always with Purpose employee value proposition, we’re putting the development and growth of colleagues first by ensuring everyone at Anglo American has the career experience they deserve.
Job Description
- BI Architecture Design and Implementation: Develop and maintain the overall BI architecture, including data sourcing, integration, storage, and analysis frameworks. Ensure the architecture supports current and future business intelligence needs.
- Metadata Management: Design, create, and manage the metadata repository to ensure consistent use and understanding of data across the organization. This includes maintaining a business glossary and data catalogue for easy access and comprehension by users.
- Data Integration and Cleansing: Oversee the integration of data from various sources, ensuring the data is accurate, consistent, and accessible. Implement and maintain data cleansing and quality processes to guarantee reliable data for analysis.
- Analytics Support: Work with BI and data visualization tools to support the analysis of data and the presentation of insights to business users, enabling informed decision-making.
- Technology Evaluation: Stay abreast of the latest BI tools and technologies, evaluating their applicability to the organization's needs and integrating them into the BI architecture as appropriate.
- Collaboration and Leadership: Work closely with IT, data management teams, and business stakeholders to align BI strategies with organizational goals. Lead and mentor team members in BI best practices.
Qualifications
- Degree in a relevant discipline (e.g. Information technology, computer science, data science, etc).
Technical Knowledge
- BI Tools and Technologies: Proficiency with BI and data visualization tools such as Power BI, Tableau, or similar platforms.
- Data Modelling and Warehousing: Deep understanding of data modelling principles, data warehousing architectures (e.g., star schema, snowflake schema), and ETL processes.
- Metadata Management: Experience with metadata management practices, business glossaries, and data catalogs.
- Programming and Database: Strong skills in SQL, and familiarity with programming languages relevant to data processing and analysis (e.g., Python, R).
- System Integration: Knowledge of system integration techniques and the ability to incorporate various data sources into a cohesive BI architecture.
- Data Governance: Understanding of data governance principles and practices to ensure data quality and consistency.
How to apply
To apply for this role, please complete our online application form. You will have the opportunity to upload your CV and other relevant documentation as part of the process.
Advert closing date: 25 October 2024
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