Company Overview:
CB&I delivers integrated storage and asset‑management solutions that help customers operate safely, reliably, and efficiently across the lifecycle of their facilities. Through our two global business units - Storage Solutions, the world leader in tanks, terminals, and storage systems, and Asset Solutions, a leading provider of operations, management, wells and decommissioning services - we combine technical excellence with execution capability to extend asset life, optimize performance, and maximize value.
Overview:
The Sr Professional Data Visualization Analyst is responsible for designing, developing, and maintaining enterprise reporting, dashboards, scorecards, and data visualization solutions that enable data-driven decision-making across the organization. This role reports directly to the Manager, AI, Data, & Analytics and routinely interacts with Global IT, Global Business Leads, Global Functional Leads, and Project Management.
Responsibilities:
Data Visualization & Reporting
- Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, and executive visualizations that translate business requirements into meaningful visual analytics and reporting solutions.
- Create intuitive executive and operational dashboards that simplify complex data, support business decision-making, and apply visualization best practices to maximize usability, performance, and user adoption.
- Ensure consistency in reporting standards, branding, definitions, and calculations while optimizing reports and dashboards for performance, scalability, and user experience.
Dashboard & Report Development
- Develop and maintain Power BI semantic models, datasets, dataflows, and complex DAX measures that support scalable and optimized analytics.
- Design and implement row-level security (RLS), workspace security models, and support Power BI Service administration and report deployment processes.
- Collaborate with data engineering teams and leverage Microsoft Fabric to ensure data models support reporting and analytics requirements.
Business Analysis & Stakeholder Engagement
- Partner with business leaders to identify reporting needs and analytics opportunities.
- Gather, analyze, document, and validate reporting requirements.
- Facilitate workshops and working sessions with stakeholders to define KPIs, metrics, and dashboard requirements to provide recommendations for improving business processes.
- Support self-service reporting initiatives and encourage data-driven decision-making.
Data Governance & Quality
- Adhere to enterprise data governance standards, security requirements, privacy regulations, and reporting policies.
- Validate data quality, accuracy, and consistency, partnering with data stewards and business owners to resolve data quality issues across reporting environments.
- Assist with the establishment and maintenance of data definitions, business glossaries, and metric standards.
Analytics & Continuous Improvement
- Identify opportunities to improve reporting automation and analytics processes while leveraging advanced analytics capabilities within Power BI, Fabric, and AI-enabled reporting and analytics capabilities.
- Monitor report usage and user feedback to continuously improve solutions.
- Stay current with emerging visualization technologies and Microsoft platform enhancements.
Training & Support
- Provide end-user training and support for Power BI reports and dashboards while developing documentation, user guides, and knowledge-sharing materials.
- Mentor business users on reporting best practices and self-service analytics capabilities.
- Assist in troubleshooting reporting and data-related issues.
Qualifications:
Required
- Bachelor's degree in Information Systems, Information Technology, Data Science, Computer Science, Business Analytics, Engineering, Mathematics, or a related discipline.
- Minimum of 5-10 years of experience developing Power BI dashboards and enterprise reporting solutions.
- Experience with data visualization, business intelligence, and analytics platforms.
- Strong experience with Power BI Desktop, Power BI Service, DAX, and Power Query.
- Experience working with large datasets and relational databases.
- Experience writing and optimizing SQL queries.
- Experience gathering and translating business requirements into reporting solutions.
- Demonstrated experience developing KPI-based dashboards and executive reporting.
- Experience working in a structured project environment.
Preferred
- Experience with Microsoft Fabric.
- Experience with Azure Data Factory, Azure Synapse, Databricks, or similar cloud analytics platforms.
- Experience supporting enterprise data governance initiatives.
- Experience with AI-enabled reporting, predictive analytics, or machine learning outputs.
- Experience within the Engineering, Manufacturing, and/or Construction industries.
- Certifications such as:
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Fundamentals
- Microsoft Certified: Azure Data Engineer Associate
- Certified Business Intelligence Professional (CBIP)
Skills and Behaviors:
Technical Expertise
- Microsoft Power BI Desktop and Power BI Service
- Microsoft Fabric
- DAX (Data Analysis Expressions)
- Power Query (M Language)
- SQL Development and Data Analysis
- Data Modeling and Dimensional Modeling Concepts
- Data Warehousing and Data Lake Concepts
- ETL/ELT Processes
- Microsoft Azure Data Services
- Data Governance and Data Quality Practices
- Dashboard Design and Data Visualization Best Practices
- Business Intelligence and Analytics Platforms
- AI-Assisted Analytics and Reporting Technologies
- Microsoft Copilot and Copilot Agents utilized within Power BI framework
Professional Competencies
- Strong analytical and problem-solving capabilities.
- Ability to translate business requirements into technical solutions.
- Strong attention to detail and commitment to data accuracy.
- Excellent written, verbal, and presentation skills.
- Ability to communicate technical concepts to non-technical audiences.
- Strong organizational and time-management skills.
- Ability to manage multiple priorities and deadlines.
- Collaborative mindset with strong interpersonal skills.
Business Acumen
- Understanding of business operations, performance metrics, and key business drivers.
- Ability to identify opportunities where analytics can improve business outcomes.
- Understanding of KPI development and performance management practices.
- Commitment to delivering business value through data and analytics.