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About the Role

The Employee Experience Insights & AI Enablement Team seeks a Senior Insights Analyst to bridge AI strategy, IT operations, and enterprise analytics. This role involves building analytics platforms for AI investment governance and IT service delivery intelligence, with opportunities to shape the company's AI strategy.

Responsibilities

• Develop executive-facing dashboards connecting AI spend trends to strategic outcomes.
• Evolve and maintain the AI cost analytics platform into a scalable observability system.
• Build architecture to integrate AI gateway telemetry with enterprise data platforms for token attribution.
• Partner with Cloud Services, InfoSec, and Finance to ensure accurate spend governance.
• Design, build, and maintain dashboards and datasets for IT service delivery performance.
• Normalize and integrate data from ServiceNow, DEX Performance Analytics, and collaboration tools.
• Identify patterns, bottlenecks, and opportunities in service delivery data and provide recommendations.
• Respond to ad-hoc data requests from IT and business stakeholders.
• Analyze IT and business operations data to identify AI automation opportunities.
• Build and maintain a pipeline of data-backed AI enablement opportunities.
• Quantify the impact of deployed AI solutions and feed findings back into the roadmap.
• Design and implement an analytics framework to measure AI investment productivity impact on knowledge workers.
• Define, instrument, and track meaningful productivity KPIs.
• Build data infrastructure to collect, normalize, and report productivity signals.
• Produce regular productivity impact reports for senior and executive audiences.
• Design a scalable, modern analytics architecture integrating various enterprise data sources.
• Champion the migration from legacy reports to dynamic, AI-assisted dashboards.
• Define data standards, integration patterns, and governance practices.
• Evaluate and recommend analytics tooling to maintain a best-in-class platform.

Requirements

• Proven experience in data analytics, reporting, and dashboarding with a portfolio including operational, AI reporting, and strategic use cases.
• Hands-on experience with Snowflake and/or Microsoft Fabric for data pipeline design, transformation, and analytics delivery.
• Proficiency with Microsoft Power BI for dashboard development and stakeholder-facing reporting.
• Experience integrating data from APIs, CSV files, event streams, and diverse SaaS platforms into analysis-ready datasets.
• Strong analytical and communication skills able to translate complex data into clear, executive-ready narratives.
• End-to-end ownership of the data solution lifecycle: requirements, design, development, deployment, and ongoing iteration.
• Comfort operating independently in a fast-moving environment with competing priorities and evolving requirements.
• Collaborative mindset with experience working across technical and non-technical stakeholders.
• Experience with LiteLLM, LangSmith, or similar LLM observability and cost tracking platforms.
• Familiarity with AI/LLM cost structures, token economics, model pricing, and usage attribution.
• Experience building AI-assisted or agentic analytics solutions, including tools such as Claude Code.
• Working knowledge of ServiceNow data structures in ITSM and/or HRSD.
• Background in productivity measurement, workforce analytics, or digital employee experience (DEX) platforms.
• Exposure to enterprise AI platforms including Anthropic/Claude, OpenAI, Google Gemini, or AWS Bedrock.
• Candidates requiring sponsorship now or in the future will not be considered.

Skills

• Data Analytics
• Reporting
• Dashboarding
• Snowflake
• Microsoft Fabric
• Microsoft Power BI
• API Integration
• CSV Integration
• Event Stream Integration
• SaaS Platform Integration
• LiteLLM
• LangSmith
• LLM Observability
• LLM Cost Tracking
• AI/LLM Cost Structures
• Token Economics
• Model Pricing
• Usage Attribution
• AI-Assisted Analytics
• Agentic Analytics
• Claude Code
• ServiceNow (ITSM/HRSD)
• Productivity Measurement
• Workforce Analytics
• Digital Employee Experience (DEX)
• Anthropic/Claude
• OpenAI
• Google Gemini
• AWS Bedrock

Location

• Global

Work Type

• Hybrid (four days in-office)

Experience Level

• Senior

Salary/Compensations

• $60,023 - $102,070 CAD

Benefits

• Range of other benefits available to enhance flexibility as needs change.
• Tools and resources to engage meaningfully with global colleagues.

About the Company

• Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.

Equal Opportunity

• If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.