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.