Business Intelligence Developer

The Business Intelligence Developer role is pivotal in empowering the Site Operations team by designing and maintaining data pipelines that integrate data from various tools into centralized databases. The developer will focus on gathering, transforming, and validating data to produce accurate metrics, dashboards, and reports that track performance against goals and KPIs.

Requirements

• Design, develop, and maintain robust data pipelines to gather, integrate, and transform data from various tools and systems into centralized databases to support Site Operations team reporting and analytics.
• Collaborate with Site Operations leadership and stakeholders to identify key performance indicators (KPIs) and goals, ensuring data solutions align with operational objectives and provide actionable insights.
• Build and optimize scalable dashboards, reports, and visualizations to track metrics against goals, enabling data-driven decision-making for the Site Operations team.
• Monitor and validate data quality, ensuring accuracy, consistency, and completeness of data sourced from diverse tools, including Computerized Maintenance Management Systems (CMMS) and other operational platforms.
• Partner with subject matter experts (SMEs) to understand tool-specific data structures and integrate new data sources to enhance reporting capabilities and support operational efficiency.
• Develop automated processes to streamline data collection, aggregation, and analysis, reducing manual effort and improving reporting timeliness.
• Conduct regular audits of data pipelines and reporting outputs to ensure reliability and alignment with evolving business needs and KPIs.
• Analyze trends in operational data to identify gaps, risks, and opportunities, providing insights to inform strategic planning and continuous improvement for the Site Operations team.
• Stay abreast of industry trends in business intelligence, data integration, and analytics tools to ensure the adoption of best practices and innovative solutions in data management.

Benefits

• Competitive benefits based on parity and consistency
• Flexible medical, life insurance, and retirement options
• Support for employees to give back to their communities through volunteer programs