Morningstar
Service Delivery and IT Ops Data Analyst
Chicago
Sponsorship not specified$300k-$600kDetected 27 days ago
Data StructuresSnowflakeAWSData AnalysisData VisualizationLLMsAgentic AICybersecurityLeadershipCommunicationCollaborationMentoring
About the role
- The Employee Experience Insights & AI Enablement Team is looking for a Senior Insights Analyst to sit at the intersection of AI strategy, IT operations, and enterprise analytics.
- You will be embedded in a team that is actively deploying agentic AI infrastructure ( LiteLLM, AWS Bedrock, Claude/Anthropic ), and migrating to cloud-native data platforms (Snowflake, Microsoft Fabric).
- Additionally, identify metrics to measure the effectiveness of the Employee Experience Insights and AI Enablement Team.
Responsibilities
- You will build the analytics foundation that helps Morningstar's Central Technology team understand, govern, and accelerate our AI investments while simultaneously driving operational intelligence across IT service delivery.
- You will own the design and delivery of analytics platforms that span ITSM performance, AI cost governance, and knowledge worker productivity measurement.
- Develop executive-facing dashboards (CEO/CFO-level) that connect AI spend trends to strategic outcomes, surfacing anomalies and efficiency signals in a self-service format.
- Evolve and maintain Morningstar's AI cost analytics platform currently built on LiteLLM, Snowflake, and LangSmith into a scalable, production-grade observability system.
- Build and own the architecture that integrates AI gateway telemetry ( LiteLLM ) with enterprise data platforms (Snowflake, Microsoft Fabric) to enable per-team, per-application, and per-model token attribution.
- Design, build, and maintain dashboards and datasets that drive IT service delivery performance across the Global Service Desk, endpoint operations, and employee experience functions.
- Analyze IT and business operations data to proactively identify areas where AI automation, agentic workflows, or LLM-based tooling can drive measurable efficiency gains.
- Build and maintain a pipeline of data-backed AI enablement opportunities, prioritized by estimated ROI, complexity, and strategic alignment.
- Partner with the Agentic Front Door program and Central Technology leaders to quantify the impact of deployed AI solutions and feed findings back into the roadmap.
- Design a scalable, modern analytics architecture that integrates Snowflake, Microsoft Fabric, LiteLLM, ServiceNow, and other enterprise data sources into a unified analytics layer.
Requirements
- Proven experience in data analytics, reporting, and dashboarding with a portfolio that includes both operational (ITSM or similar), AI reporting, and strategic (executive-facing) 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.
- Required
- 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.
- Preferred
- Experience building AI-assisted or agentic analytics solutions, including tools such as Claude Code.
Nice to have
- 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, an d usage attribution.
- 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.
Compensation
- 100% 401k match up to 6% of salary
- 1x salary + commission
Benefits
- Compensation and Benefits
- That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life.
- Financial Health
- Stock Ownership Potential
- Company provided life insurance
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
- Additional medical Wellness Incentives - up to $300-$600 annual
Company info
- If you are energized by building from scratch, thrive in ambiguity, c omfortable with a f ast moving environment, and want your analytics work to directly shape how a global company runs its AI strate gy this role is for you.
- At Morningstar we believe people are at their best when they are at their healthiest.
Visa & Work Authorization
- Note: We're not considering candidates who require sponsorship now or in the future.
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This listing is sourced directly from Morningstar's careers page and normalized into a canonical job model.