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:
- 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
