Business Intelligence Engineer

Voted one of Chicago's Best Places to Work by the Chicago Tribune for the eighth year in a row, Clarity Partners is hiring Clarity Partners is seeking a Business Intelligence Engineer local to Chicago, IL. This individual willassist the water quality team on a client facing project . This position will report in a hybrid setting. Responsibilities: Displays knowledge and ability to apply business practices in carrying out a variety of assignments. Produces regularly scheduled reports from multiple data sources. Demonstrates the ability to organize, process, and present information, requiring good communication skills. Analyze large datasets related to water quality to identify trends, patterns, and anomalies. Develop and maintain data models for accurate and meaningful water-related analysis. Utilize statistical methods and predictive modeling to derive actionable insights. Design, develop, and implement BI solutions tailored to water industry needs. Create interactive dashboards and reports using BI tools like Tableau and Power BI. Knowledge and understanding of Water Resource Management Develop and maintain ETL processes for efficient data integration workflows. Optimize BI solutions for performance, ensuring responsiveness and scalability. Monitor system performance metrics and address bottlenecks. Document BI solutions, data models, and workflows for future reference. Provide training and support to end-users on BI tools and data visualizations. May complete assignments of limited complexity, requiring independent evaluation, selection, adaptation, and modification of standard techniques, procedures, and criteria. Assists in business related activities and presentations. Works under limited supervision. Requirements Requirements: Proven experience of at least 5 years in data analysis, business intelligence, or a related field, preferably in the water industry. Strong proficiency in BI tools such as Power BI, or similar platforms. Experience with data modeling, ETL processes, and data integration techniques. Knowledge of statistical methods, predictive modeling, and data analytics. Proficiency in programming languages such as SQL, Python, or R for data analysis and modeling. Experience with querying data from SQL & Oracle servers; SQL Server Management studio experience is a plus Experience with machine learning models Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders