Applied AI Analyst

Ascentek • Golden Valley, MN

3d

About The Position

The Applied AI Analyst enables, deploys, and drives adoption of AI solutions built by the IT Platforms & Integrations team, and helps business teams create AI agents using governed data in the Microsoft Fabric data warehouse. This business-facing role translates business needs into practical, responsible applications of AI and data that deliver measurable value. The analyst documents detailed, testable requirements and acceptance criteria for engineering, then leads validation, rollout, user enablement, and adoption after solutions are delivered.

The role initially supports solutions including the eTank monitoring platform and Product Data Platform, and progressively takes ownership of future solutions. It also coaches business teams on building AI agents, develops reference agents and prototypes, identifies valuable AI and automation use cases, and partners with data and architecture colleagues to ensure solutions use well-modeled, governed data.

Requirements

• Bachelor’s degree in Business, Information Systems, Data Analytics, or a related field, or equivalent experience.
• At least 3 years in business analysis or a solutions/enablement role translating business needs into detailed, testable requirements.
• Hands-on experience with Microsoft Copilot or Copilot Studio, or comparable AI assistant or agent tooling.
• Working experience with a modern data or BI platform such as Microsoft Fabric or Power BI, and a working understanding of data models.
• Experience enabling or coaching business users to adopt new tools or solutions.
• Strong requirements elicitation and documentation skills, including producing build-ready specifications and acceptance criteria.
• Technical fluency with AI agent tooling and data concepts, including Fabric and semantic models, sufficient to build prototypes and guide others.
• Ability to enable and coach non-technical business users toward self-service.
• Excellent communication skills and ability to bridge business and engineering audiences.
• Practical judgment about where AI and automation add value and where they do not.
• Ability to manage multiple concurrent solution and adoption efforts across stakeholders.
• Working knowledge of responsible-AI practices and data governance.
• Ability to comprehend and follow instructions, perform complex or varied tasks, solve problems, make decisions, and communicate effectively in written and verbal form.
• Continuous reasoning, analysis, and collaboration with business and technical stakeholders.
• Primarily sedentary work, with occasional standing, walking, and lifting of office equipment.

Nice To Haves

• Experience building agents in Microsoft Copilot Studio, Power Platform, or comparable low-code/AI tooling.
• Hands-on experience with Claude and other leading AI assistants and their application in a business setting.
• Familiarity with Microsoft Fabric medallion architecture and Power BI semantic models.
• Business-analysis experience in a manufacturing or distribution environment.
• Familiarity with enterprise platforms such as JD Edwards, Salesforce, BigCommerce, or ServiceNow.
• Change-management, training, or adoption experience.

Responsibilities

• Serve as the business analyst for new solutions, beginning with the eTank monitoring platform and Product Data Platform, by eliciting and documenting detailed, testable requirements and acceptance criteria for engineering.
• Own deployment and adoption of solutions, including coordinating user acceptance testing and validation, planning rollouts, enabling users, creating enablement materials, and driving uptake.
• Enable and coach business teams to build AI agents, preferably in Microsoft Copilot or Copilot Studio, using governed data in the Microsoft Fabric data warehouse.
• Build reference agents and prototypes to demonstrate possibilities and accelerate business adoption.
• Partner with the Data Engineer and IT Platforms Architect to ensure solutions and agents use well-modeled, governed Fabric data.
• Progressively take ownership of future solutions as they are defined.
• Identify and prioritize practical, high-value AI and automation use cases across the business, and champion responsible AI use.
• Stay current on AI developments, including model releases, tools, and emerging use cases, and share relevant advances with the team and business.
• Maintain clear documentation of solution requirements, agent configurations, and enablement guides.
• Act as the bridge between business owners and the engineering team for these solutions.

Benefits

• Medical plan options, including fertility coverage and free mental health and telehealth coverage
• Dental and vision insurance
• FSA/HSA options
• Paid parental leave
• Company-provided short-term disability, long-term disability, and life insurance
• Supplemental insurance, including accident, critical illness, hospital, and supplemental life insurance
• 401(k) with a generous company match
• Pet insurance
• Tuition reimbursement
• 21 paid days off
• 7 paid holidays
• Short-Term Incentive Plan (STIP) bonus
• Casual dress environment
• Company-provided phone
• Company-provided computer
• Career advancement opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level