Midrand, South Africa | Posted on 18/12/2024
The Business Intelligence (BI) Specialist is responsible for transforming raw data into meaningful insights that drive informed decision-making across the organization.
This role involves the end-to-end management of data, from warehousing and mining to analysis and reporting, ensuring data supports the strategic objectives of the CETA.
Key Responsibilities: Data Warehousing:
Centralize and consolidate data from CETA and stakeholders.
Manage ETL (Extract, Transform, Load) processes to structure data into organized data marts.
Ensure seamless integration of data into required systems and solutions.
Data Mining:
Identify patterns within large datasets to classify, cluster, and detect anomalies.
Use advanced statistical and machine learning techniques for data exploration.
Analytics: Conduct data analysis through various methods, including:
Descriptive Analytics: Summarize historical data to identify trends and patterns.
Predictive Analytics: Use historical data to forecast future trends and outcomes.
Prescriptive Analytics: Recommend actions based on predictive insights.
Diagnostic Analytics: Investigate data anomalies and their underlying causes.
Reporting:
Design and generate actionable reports and dashboards.
Distribute insights to CETA business areas and relevant stakeholders.
Ensure reports are timely, accurate, and tailored to user needs.
Performance Management:
Monitor and evaluate Key Performance Indicators (KPIs) to measure organizational performance.
Collaborate with teams to identify areas of improvement and develop performance-enhancing strategies.
RequirementsQualifications and Experience:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
Proven experience in Business Intelligence, data warehousing, and analytics.
Proficiency in BI tools such as Power BI, Tableau, or QlikView.
Strong understanding of ETL processes and data integration.
Experience with SQL and data modeling.
Knowledge of statistical and machine learning techniques is an advantage.
Skills and Competencies: Analytical mindset with strong problem-solving abilities.
Excellent communication and presentation skills.
Attention to detail and commitment to data accuracy.
Ability to work collaboratively with cross-functional teams.
Proactive in identifying and implementing process improvements.
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