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About Us
At VISASQ/COLEMAN, we connect businesses with hard-to-find expertise through our extensive global network of subject matter experts. VISASQ/COLEMAN is a partnership formed by VisasQ Inc., Asia's leading expert network and the only publicly traded company in our field. Through VisasQ’s merger with Coleman Research, a trusted expert service provider with over 20 years of experience, VISASQ/COLEMAN offers tailored consulting solutions for consulting firms, asset management funds, and corporations seeking primary research insights.
Our mission is to eliminate barriers to knowledge by facilitating direct exchanges of critical insights across industries. We take pride in utilizing our comprehensive internal database of qualified experts, along with our ability to custom recruit specialists for each project, ensuring our clients receive timely and relevant information to inform their decision-making processes.
With offices across Raleigh, NC; Phoenix, AZ; New York, NY; Reading, UK; Hong Kong; Japan; and Bogotá, Colombia, we empower our clients to navigate complex markets and gain a competitive edge. Join us in revolutionizing informed decision-making by transforming how businesses access expert insights.
For more information, visit our website.
What We’re Looking For
VISASQ/COLEMAN is seeking an experienced Power BI Optimization Consultant for a short-term, part time/ hourly consulting engagement. We are looking for someone with deep experience optimizing large, complex Power BI semantic models, improving refresh reliability, reducing model size, and strengthening long-term model performance.
This is not a front-end dashboard design role. The ideal consultant will have strong back-end Power BI architecture, semantic model optimization, DAX/M, SQL, VertiPaq, and data modeling expertise.
About the Project
Our team is seeking a Power BI Optimization Consultant to support a focused review and improvement of several business-critical Power BI models used for internal reporting, finance-related workflows, and operational analytics.
This engagement will focus on improving model performance, refresh reliability, scalability, and long-term maintainability within our current Power BI environment.
What You’ll Do
Required Experience
Preferred Experience
Engagement Details
Expected Deliverables
To Express Interest
Please apply through this job board or send your resume, LinkedIn profile, or a brief summary of your relevant Power BI optimization experience to Andrea Eaves. In your response, please include examples of similar Power BI performance optimization projects you have supported, your hourly rate or preferred engagement structure, and your general availability over the next 1–2 months.
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