Sr Data Visualization Analyst

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.