Business Intelligence Engineer

Job Description

At Kaleris, we are dedicated to solving the most complex challenges in the global ocean supply chain. As both technology innovators and industry experts, we are deeply integrated into our customers' operations. We are seeking a highly skilled Business Intelligence (BI) Engineer to deliver cutting-edge BI and Smart Apps solutions to our global customer base. The ideal candidate will possess strong analytical capabilities, a deep understanding of data analysis, mathematics, and statistics, and a passion for leveraging machine learning to uncover insights that optimize customer operations.

Key Responsibilities

• Deploy, configure, customize, and maintain cloud-based Business Intelligence (BI) and Smart Apps solutions for a diverse global customer base.
• Deliver planned and ad-hoc data-driven insights to support various customer projects.
• Design and implement data visualizations to present insights effectively.
• Develop customer-specific reports, dashboards, and applications using tools such as Power BI.
• Generate reports using Crystal Reports and iReports to meet customer needs.
• Propose and implement data-driven solutions to address complex business challenges.
• Collaborate closely with engineering, product development, and customer-facing teams to ensure seamless solution delivery.
• Analyze large datasets to identify trends and patterns that drive business improvements.
• Integrate data from multiple sources to provide comprehensive, actionable insights.
• Facilitate workshops and discussions with customers to identify needs and refine solutions.
  
  

Qualifications

• Over 6 years of experience in databases, ETL, data streaming to the cloud, and data visualization.
• Proficiency in Microsoft Power BI and experience building advanced reports and dashboards.
• Experience with Kafka, Pentaho Kettle, and Azure Synapse Analytics.
• Familiarity with Kaleris N4 and Kaleris XPS is highly advantageous.
• A solid understanding of machine learning and/or operations research is preferred.
• Expertise in R, SQL, Python; familiarity with Scala, Java, or C++ is a plus.
• Strong analytical skills and business acumen to interpret data and provide actionable insights.
• Advanced math skills, including statistics and algebra.
• Proven problem-solving abilities, with the capability to develop innovative solutions.
• Excellent verbal and written communication skills, with experience presenting complex data insights clearly and effectively.
• Bachelor's degree in Computer Science, Engineering, or a related field; a graduate degree in Data Science or another quantitative discipline is preferred.
• Willingness to travel up to 25% to customer sites worldwide.
  
  

This role is ideal for a proactive, data-driven professional passionate about leveraging advanced BI solutions to drive value for a global customer base while contributing to the strategic growth of Kaleris.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.