Business Intelligence Specialist
Business Intelligence Specialist
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5-7years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- 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.
- Identify patterns within large datasets to classify cluster and detect anomalies.
- Use advanced statistical and machine learning techniques for data exploration.
- 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.
- 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.
- Monitor and evaluate Key Performance Indicators (KPIs) to measure organizational performance.
- Collaborate with teams to identify areas of improvement and develop performanceenhancing strategies.
Requirements
- 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.
- Analytical mindset with strong problemsolving abilities.
- Excellent communication and presentation skills.
- Attention to detail and commitment to data accuracy.
- Ability to work collaboratively with crossfunctional teams.
- Proactive in identifying and implementing process improvements.
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.
Education
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.
Employment Type
Full Time
