Business Intelligence Specialist

Key Responsibilities

Data Analysis & Reporting

• Collect, analyze, and interpret large datasets from various internal and external sources.
• Develop and maintain interactive dashboards and reports (e.g., Power BI, Tableau, Qlik).
• Identify trends, patterns, and insights that drive business performance.

Business Intelligence Development

• Build, optimize, and maintain BI solutions, including ETL processes and data models.
• Work with stakeholders to define key metrics (KPIs) and reporting requirements.
• Ensure data accuracy, consistency, and quality across all BI outputs.

Stakeholder Collaboration

• Partner with business teams to understand their analytical needs and provide data-driven recommendations.
• Present insights and findings to senior management in a clear and structured manner.
• Train users on BI tools, dashboards, and best practices.

Data Governance & Quality

• Support data governance initiatives by documenting data definitions and ensuring compliance with standards.
• Participate in continuous improvement efforts for data processes, sources, and architecture.

Required Qualifications

• Bachelor’s or Master’s degree in Business, Data Science, Computer Science, Economics, Engineering, or a related field.
• 2–4 years of experience in a BI, data analysis, or reporting role.
• Strong skills in BI tools such as Power BI, Tableau, Qlik , or similar.
• Proficiency in SQL and experience working with relational databases.
• Solid understanding of data modeling, ETL concepts, and data warehousing principles.
• Strong analytical and problem-solving skills with high attention to detail.
• Ability to communicate complex concepts to non-technical stakeholders.

Preferred Qualifications

• Experience with Python or R for advanced analytics.
• Knowledge of cloud-based data platforms (Azure, AWS, GCP).
• Experience in automation and process optimization.
• Familiarity with KPI design, forecasting models, and performance dashboards.

Personal Attributes

• Proactive, curious, and data-driven mindset.
• Strong sense of ownership and accountability.
• Ability to work effectively in a fast-paced, dynamic environment.
• Excellent communication and presentation skills.