We are looking for a skilled Business Intelligence Developer to join our internal team supporting a key client in the Mining and Construction sector. This role focuses on managing and optimizing large-scale data environments within the Human Capital Management (HR and Payroll) domain, ensuring data integrity, insightful reporting, and seamless integration across multiple systems.
What You’ll Do
- Design, develop, and maintain SQL-based BI solutions to support business decision-making within the HR and Payroll landscape.
- Build and optimize Power BI dashboards and visualizations, ensuring accuracy, clarity, and performance.
- Develop and support SSRS reports and integrations, enabling efficient data flow across enterprise systems.
- Manage and maintain data within multi-terabyte databases, ensuring scalability, performance, and data governance compliance.
- Collaborate with business and technical stakeholders to gather requirements, translate them into technical solutions, and deliver actionable insights.
- Oversee and maintain 80+ data integrations across third-party applications and client line-of-business (LOB) systems.
- Contribute to continuous improvement initiatives across BI architecture, ETL processes, and reporting frameworks.
What We’re Looking For
Experience
- Proven experience with SQL Server and related BI stack components (SSRS, SSIS, SSAS).
- Strong knowledge of Power BI development, including DAX, data modeling, and performance tuning.
- Experience working with large-scale databases (multi-terabyte environments).
- Solid understanding of integration design, ETL pipelines, and automation within complex data ecosystems.
- Experience supporting Human Capital Management systems (HR and Payroll) is highly advantageous.
- Excellent communication skills and stakeholder engagement capability.
Preferred Qualifications
- Degree in Computer Science, Information Systems, or related field.
- Experience in the Mining or Construction industry will be an advantage.
- Familiarity with data warehousing concepts, performance optimization, and data security best practices.