Business Intelligence Analyst - Semantic & Agent Analytics 3

The Business Intelligence Analyst – Semantic & Agent Analytics translates business needs into governed semantic models, reusable analytics assets, and analytics-enabled experiences built on Microsoft’s analytics platform. This role emphasizes semantic modeling, operational analytics enablement, and data agent readiness, rather than domain-specific reporting ownership.

Acting as an enterprise enablement function, the role supports adoption and monitored use of Power BI semantic models, Microsoft Fabric datasets, and Copilot / data agent capabilities, ensuring analytics is scalable, trusted, and consistently consumed across the organization.

#LI-Remote 

• Design, build, and maintain enterprise Power BI semantic models, including measures, relationships, hierarchies, and business logic that enable consistent analytics consumption.
• Develop and manage governed, reusable datasets and certified analytics assets within Microsoft Fabric to support standardized operational analytics and self-service use cases.
• Enable and support data agent and Copilot-driven analytics experiences by ensuring agents reference certified semantic models, validated datasets, and enterprise definitions.
• Monitor, validate, and assess data agent outputs, usage patterns, and performance to ensure accuracy, trust, and alignment with business context.
• Partner across business domains within a hub-and-spoke analytics framework to translate analytics needs into scalable, semantic-model–driven solutions rather than one-off reports.
• Drive pilot use cases and adoption of new analytics functionality, including Microsoft Fabric features, Power BI enhancements, and agent-based capabilities, evaluating readiness for broader enterprise rollout.
• Design and deliver operational analytics and insight experiences built on semantic models, optimized for consistency, reuse, and downstream analytics consumption.
• Act as a trusted advisor on enterprise analytics patterns, semantic standards, and reporting best practices, influencing how analytics is built and consumed.
• Perform data quality validation and integrity checks on analytics assets, identifying issues and partnering with engineering teams to remediate root causes.
• Train and mentor analysts and business users on semantic modeling concepts, enterprise datasets, analytics agents, and interpretation of analytics outputs.
• Support analytics governance by contributing to documentation, standards, and usage guidance for certified datasets, semantic models, and agent-enabled analytics experiences.
• Analyze analytics asset usage, feedback, and adoption trends to inform continuous improvement of enterprise analytics enablement.

• Bachelor’s Degree or equivalent combination of education and experience sufficient to perform the principal duties of the job.
• Experience as a Business Intelligence Analyst, Data Analyst, or similar role in an enterprise or centralized analytics environment.
• Strong experience with Microsoft Power BI, including report development, semantic modeling, and DAX.
• Hands-on experience designing and maintaining Power BI semantic models or shared enterprise datasets.
• Experience working with Microsoft Fabric, SQL Server, or similar modern analytics platforms.
• Strong SQL skills for data validation, analytical problem solving, and root-cause investigation.
• Understanding of semantic modeling concepts, KPI definitions, and governed analytics assets.
• Familiarity with certified datasets, reusable analytics models, and enterprise reporting standards.
• Exposure to AI-assisted or agent-based analytics tools (e.g., Copilot, analytics agents, natural language querying).
• Ability to validate and interpret AI-generated analytics outputs using business context and certified data.
• Strong oral and written communication skills with the ability to work effectively with technical and non-technical stakeholders.
• Strong analytical, organizational, and problem-solving skills with attention to detail.
• Ability to summarize complex analytical concepts into clear, operationally relevant insights.
• Strong collaborative mindset across analytics, engineering, and business teams.
• Strong business and technology acumen.
• Up to 5% travel time required.

What you can expect next

• Hyland Recruiters thoroughly review every application and will contact you within 1 to 2 weeks regarding next steps. Be sure to add Hyland to your contacts list and check your spam folder so you never miss a message from us!
• Interview Process: 
  • Recruiter Screen 
  • Hiring Manager Interview 
  • Final round with (HM, Team member, and/or cross-functional partners)
  • Offer!

Benefits & Contract Type

Your recruiter will share more details throughout the process - feel free to ask about our Benefit packages!

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Since 1991, it has been Hyland’s mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do – whether it’s helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.

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