Senior Power BI & Analytics Visualization Lead

CB&I; The Woodlands (TX); On-site; USD 95,000 - 150,000; Full time

Job summary

CB&I is seeking a Sr Professional Data Visualization Analyst to design and maintain enterprise dashboards, reports, scorecards, and data visualizations that drive data-informed decisions. This role reports to the Manager, AI, Data, & Analytics and collaborates with Global IT and business leads.

The successful candidate will develop Power BI dashboards, semantic models, dataflows, and DAX measures, implement row-level security, and partner with data engineering to ensure scalable analytics.

Qualifications

• Bachelor's degree in Information Systems or a related field.
• 5–10 years of experience building Power BI dashboards and enterprise reporting.
• Strong experience with Power BI Desktop and Service, DAX, and SQL.
• Experience translating business requirements into reporting solutions.

Responsibilities

• Design, develop, and maintain Power BI dashboards, reports, scorecards, and executive visuals.
• Create intuitive executive and operational dashboards to support decision-making.
• Develop semantic models, dataflows, and DAX measures for scalable analytics.
• Implement row-level security and Power BI service administration.
• Collaborate with data engineers and stakeholders to define KPIs and reporting requirements.

Skills

Data Visualization

Stakeholder Engagement

Analytical Thinking

Communication Skills

Problem Solving

Education

Bachelor's degree in Information Systems or related field

Tools

Power BI Desktop

Power BI Service

SQL

Azure Data Factory

Job description

CB&I is seeking a Sr Professional Data Visualization Analyst to design and maintain enterprise dashboards, reports, scorecards, and data visualizations that drive data-informed decisions. This role reports to the Manager, AI, Data, & Analytics and collaborates with Global IT and business leads.

The successful candidate will develop Power BI dashboards, semantic models, dataflows, and DAX measures, implement row-level security, and partner with data engineering to ensure scalable analytics.