Applied AI Analyst

• Posted on November 4, 2026

Showing 1 location Golden Valley, MN 55427, USA

• Information Technology
• Full-Time
• Requisition #: APPLI
  004190

With a purpose to make tomorrow a little bit better than today for each other, our customers, and our communities
, Ascentek provides an environment where you can love what you do and be your best every day.

What you will enjoy by being a part of a 2026 USA Great Place to Work certified company:

A position that is: Salary, Full time, Mon-Fri

• 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 Insurances, including accident, critical illness, hospital, and supplemental life insurance
• 401(k) with a generous company match
• Pet Insurance Benefits
• Tuition reimbursement
• 21 Paid Days Off
• 7 Paid Holidays

• Short-Term Incentive Plan (STIP) bonus
• Dress For Your Day (casual dress environment)
• Company phone provided
• Company computer provided
• Career advancement opportunities

As the Applied AI Analyst you will put AI to work for the business - enabling, deploying, and driving adoption of the new solutions the IT Platforms & Integrations team builds, and helping business teams build their own agents that leverage data in the Microsoft Fabric data warehouse. You are the business-facing owner of these new solutions: you document the detailed, testable requirements the engineering team builds against, then lead rollout, enablement, and adoption once they ship.

Rooted in Our Values you will translate business need into practical, responsible applications of AI and data that create measurable value.

Key Responsibilities Include:

• Serve as the business analyst for the new solutions the team builds - starting with the eTank monitoring platform and the Product Data Platform - eliciting and documenting detailed, testable requirements and acceptance criteria for handoff to the engineering team
• Own deployment and adoption of these solutions: coordinate user acceptance testing and validation with business owners, plan rollout, enable users, create enablement materials, and drive uptake once engineering delivers
• Enable and coach business teams to build their own AI agents, preferably in Microsoft Copilot (Copilot Studio), that draw on governed data in the Microsoft Fabric data warehouse
• Build reference agents and prototypes to demonstrate what is possible and to accelerate business adoption
• Partner with the Data Engineer and the IT Platforms Architect so solutions and agents use well-modeled, governed Fabric data
• Progressively take ownership of future solutions the team builds as they are defined
• Identify and prioritize high-value, practical AI and automation use cases across the business; champion responsible use of AI
• Stay current on AI developments - new model releases, tooling, and emerging use cases - and bring relevant advances to the team and the business
• Maintain clear documentation of solution requirements, agent configurations, and enablement guides
• Serve as the bridge between business owners and the engineering team for these solutions

Education:

• Bachelor’s degree in Business, Information Systems, Data Analytics, or a related field, or equivalent experience

Experience and/or Training:

• 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/agent tooling)
• Working experience with a modern data or BI platform (Microsoft Fabric, Power BI, or similar) and a working understanding of data models
• Experience enabling or coaching business users to adopt new tools or solutions

Knowledge, Skills, and Abilities:

• Strong requirements elicitation and documentation; produces build-ready specifications and acceptance criteria the engineering team can build and test against
• Technical fluency with AI agent tooling (Microsoft Copilot / Copilot Studio) and with data concepts (Fabric, semantic models) sufficient to build prototypes and guide others
• Ability to enable and coach non-technical business users toward self-service
• Excellent communication; bridges business and engineering audiences
• Practical judgment on 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…