Job Description
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
- Audit large and complex Power BI semantic models to identify opportunities for performance improvement
- Evaluate model structure, table relationships, data volume, and overall semantic model design
- Identify opportunities to reduce model size, improve refresh reliability, and streamline ongoing maintenance
- Recommend and support model optimization strategies within a Power BI Pro environment
- Support star schema redesign, normalization, and fact/dimension table separation where appropriate
- Review SQL, DAX, M query, query folding, and Power BI-side performance considerations
- Use tools such as DAX Studio, Measure Killer, and Tabular Editor to analyze and improve model performance
- Provide clear documentation, recommendations, and handover guidance for the internal team
Required Experience
- Proven experience optimizing large-scale Power BI semantic models
- Strong understanding of Power BI model architecture, DAX, M query, VertiPaq, and query folding
- Experience auditing complex or legacy Power BI environments
- Practical knowledge of star schema design and fact/dimension modeling
- Experience improving refresh reliability, model performance, and maintainability
- Ability to work within Power BI Pro constraints without relying on Premium capacity as the primary solution
- Strong communication skills and ability to explain technical recommendations clearly
Preferred Experience
- Experience working with large, highly utilized Power BI models supporting multiple downstream reports
- Experience identifying unused columns, duplicate tables, inefficient queries, and unnecessary data load
- Familiarity with thin reports or reports connected through Power BI Service/live datasets
- SQL Server view design or database-side optimization experience
- Foundational knowledge of data warehouse design
- Power BI governance or workspace structure experience
- Microsoft PL-300 certification
- Prior freelance, consulting, or Microsoft Partner experience
Engagement Details
- Part-time or hourly consulting engagement
- Estimated project length: approximately 2 months
- Expected cadence: regular weekly touchpoints with independent analysis and optimization work between meetings
- Remote-friendly
- Flexible structure based on consultant availability, proposed approach, and project scope
Expected Deliverables
- Initial assessment and findings report
- Recommendations for semantic model optimization
- At least one optimized version of a current model or model component
- Improved refresh reliability
- Reduced model size and removal of unnecessary columns/tables where appropriate
- Handover documentation for internal maintenance
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.
