Business Intelligence Analyst

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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Welcome to #HylandLife

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.

The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.

As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.