Business Intelligence Specialist

The Business Intelligence (BI) Specialist is responsible for transforming data into meaningful insights that support business decision-making. This role involves designing data models, developing dashboards and reports, performing data analysis, and ensuring data accuracy and availability across the organization. The BI Specialist works closely with cross-functional teams to understand business needs and translate them into technical solutions.

Key Responsibilities

1. BI Development & Reporting

• Design, build, and maintain dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or Qlik.
• Develop automated reporting solutions to streamline business processes.
• Create interactive visualizations that effectively communicate trends and insights.

2. Data Management & Modeling

• Collect, clean, and validate data from multiple internal and external sources.
• Create and optimize data models for reporting and analytics.
• Work with databases (SQL Server, MySQL, PostgreSQL, etc.) to extract and manipulate large datasets.
• Ensure data accuracy, consistency, and integrity.

3. Analytics & Insights

• Conduct exploratory data analysis to identify patterns, trends, and opportunities.
• Collaborate with business stakeholders to define KPIs and performance metrics.
• Translate analytical findings into actionable recommendations.
• Support strategic planning and forecasting efforts through data-driven insights.

4. Cross-functional Collaboration

• Partner with product, finance, operations, marketing, and leadership teams to understand business needs.
• Provide training and support for BI tools and dashboards.
• Act as a liaison between technical teams and non-technical stakeholders.

5. Continuous Improvement

• Stay updated with BI technologies, data analytics trends, and industry best practices.
• Optimize existing BI processes for performance and scalability.
• Propose enhancements to data infrastructure and reporting workflows.

Required Skills & Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or related field.
• 2-5+ years of experience in business intelligence, data analysis, or related roles.
• Proficiency in BI tools (Power BI, Tableau, Qlik, Looker, etc.).
• Strong SQL skills and experience working with relational databases.
• Understanding of data warehousing concepts (ETL/ELT, dimensional modeling).
• Excellent analytical, problem-solving, and critical thinking abilities.
• Ability to communicate complex data insights to non-technical audiences.
• Experience with Excel and data visualization best practices.

Preferred Qualifications

• Experience with cloud platforms (Azure, AWS, Google Cloud Platform).
• Familiarity with Python or R for data analysis.
• Knowledge of DAX, MDX, or other modeling languages.
• Background in statistical analysis or predictive modeling.
• Experience in agile environments or project management.