Sr Data Visualization Analyst

CB&I•The Woodlands, TX

10h

About The Position

The Sr Professional Data Visualization Analyst designs, develops, and maintains enterprise reporting, dashboards, scorecards, and data visualization solutions that enable data-driven decision-making across the organization. The role reports directly to the Manager, AI, Data, & Analytics and routinely interacts with Global IT, Global Business Leads, Global Functional Leads, and Project Management. The analyst creates and optimizes Power BI visualizations, semantic models, datasets, dataflows, and DAX measures; supports security and deployment processes; and collaborates with data engineering teams using Microsoft Fabric. The role also partners with business stakeholders to gather and validate requirements, define KPIs and metrics, support self-service reporting, and recommend process improvements. The position supports enterprise data governance and quality practices, improves reporting automation and analytics, monitors report usage and feedback, and keeps current with visualization technologies and Microsoft platform enhancements. It also includes end-user training, documentation, mentoring, and troubleshooting support.

Requirements

Bachelor's degree in Information Systems, Information Technology, Data Science, Computer Science, Business Analytics, Engineering, Mathematics, or a related discipline.
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.
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, including the ability to communicate technical concepts to non-technical audiences.
Strong organizational and time-management skills, with the ability to manage multiple priorities and deadlines.
Collaborative mindset and strong interpersonal skills.
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.
Technical knowledge of Microsoft Power BI Desktop and Power BI Service, Microsoft Fabric, DAX, Power Query (M Language), SQL, data modeling and dimensional modeling, data warehousing and data lake concepts, ETL/ELT processes, Microsoft Azure Data Services, data governance and quality practices, dashboard design and visualization best practices, business intelligence and analytics platforms, AI-assisted analytics and reporting technologies, and Microsoft Copilot and Copilot Agents within the Power BI framework.

Nice To Haves

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 in the Engineering, Manufacturing, and/or Construction industries.
Microsoft Certified: Power BI Data Analyst Associate certification.
Microsoft Certified: Fabric Analytics Engineer Associate certification.
Microsoft Certified: Azure Data Fundamentals certification.
Microsoft Certified: Azure Data Engineer Associate certification.
Certified Business Intelligence Professional (CBIP).

Responsibilities

Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, and executive visualizations based on business requirements.
Create intuitive executive and operational dashboards that simplify complex data and support business decision-making.
Apply visualization best practices and optimize solutions for usability, performance, scalability, and user adoption.
Maintain consistency in reporting standards, branding, definitions, and calculations.
Develop and maintain Power BI semantic models, datasets, dataflows, and complex DAX measures.
Design and implement row-level security and workspace security models, and support Power BI Service administration and report deployment.
Collaborate with data engineering teams and use Microsoft Fabric to ensure data models meet reporting and analytics requirements.
Partner with business leaders to identify reporting needs and analytics opportunities.
Gather, analyze, document, and validate reporting requirements.
Facilitate stakeholder workshops and working sessions to define KPIs, metrics, and dashboard requirements, and recommend business process improvements.
Support self-service reporting initiatives and encourage data-driven decision-making.
Follow enterprise data governance standards, security requirements, privacy regulations, and reporting policies.
Validate data quality, accuracy, and consistency, and work with data stewards and business owners to resolve data quality issues.
Assist with maintaining data definitions, business glossaries, and metric standards.
Identify opportunities to improve reporting automation and analytics processes using Power BI, Fabric, and AI-enabled capabilities.
Monitor report usage and user feedback and continuously improve reporting solutions.
Stay current with visualization technologies and Microsoft platform enhancements.
Train and support end users, and develop documentation, user guides, and knowledge-sharing materials.
Mentor business users on reporting best practices and self-service analytics.
Assist with troubleshooting reporting and data-related issues.