Business Intelligence Engineer (225-824)

A Business Intelligence Engineer works at the intersection of data analysis and technology, providing critical insights that drive business decisions. This role focuses on the development, implementation, and maintenance of BI solutions. A BI Engineer is responsible for ensuring the reliability of the data and reporting systems, enabling better strategic planning. The ideal candidate is highly analytical, adept at transforming data into actionable business insights, and possesses strong technical skills to develop and manage BI systems. In today’s data-driven world, a Business Intelligence Engineer plays a pivotal role in harnessing the power of data to influence and guide business practices and strategies.

Responsibilities

• Develop scalable and secure BI solutions using industry-standard practices and tools.
• Collaborate with business stakeholders to gather relevant data requirements and needs.
• Design, build, and maintain data models, dashboards, and reports for analysis.
• Conduct data analysis to identify trends, insights, and opportunities for improvement.
• Ensure accuracy and integrity of the data collection, processing, and reporting systems.
• Collaborate with data analysts, data scientists, and IT teams for data integration efforts.
• Monitor and maintain performance tuning of BI applications to optimize user experience.
• Provide technical support and training to end-users on BI tools and technologies.
• Stay updated on the latest BI technologies and industry trends to inform future strategies.
• Develop and enforce data security strategies to protect sensitive business information.
• Manage multiple BI projects simultaneously and ensure timely delivery of solutions.
• Develop comprehensive documentation for BI systems and processes for stakeholder reference.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven experience in business intelligence and data analysis roles is necessary.
• Strong proficiency with BI tools such as Tableau, Power BI, or Looker.
• Experience with data warehousing solutions and ETL processes is required.
• Advanced knowledge of SQL for database querying and data manipulation.
• Excellent analytical and problem-solving skills to derive business insights.
• Strong communication skills to explain complex data concepts to non-technical stakeholders.