Business Intelligence Specialist at DLK Group

Job Description

Role Overview:

• 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.

Requirements

Qualifications 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