Service Delivery and IT Ops Data Analyst

• 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.

• Partner with Cloud Services (AI Infrastructure) InfoSec and Finance to ensure spend governance models are accurate auditable and aligned to enterprise reporting standards.

• Design build and maintain dashboards and datasets that drive IT service delivery performance across the Global Service Desk endpoint operations and employee experience functions.

• Normalize and integrate data from ServiceNow (ITSM/HRSD) DEX Performance Analytics collaboration tools (e.g. Poly Lens) and other operational sources into cohesive analysis-ready datasets.

• Identify patterns bottlenecks and opportunities in service delivery data and translate findings into actionable recommendations for leadership.

• Respond to ad-hoc data requests from IT and business stakeholders with speed and clarity.

• 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 and implement an analytics framework to measure the productivity impact of AI investments on knowledge workers across Morningstar.

• Define instrument and track meaningful productivity KPIs going beyond adoption metrics to capture time savings task deflection output quality and employee sentiment.

• Build the data infrastructure needed to collect normalize and report productivity signals across AI tools (Claude Copilot Gemini Bedrock-based agents) and employee segments.

• Produce regular productivity impact reports for senior and executive audiences enabling data-driven decisions on AI investment prioritization.

• Design a scalable modern analytics architecture that integrates Snowflake Microsoft Fabric LiteLLM ServiceNow and other enterprise data sources into a unified analytics layer.

• Champion the migration from static legacy reports to dynamic interactive AI-assisted dashboards leveraging Power BI Fabric and agentic tooling where appropriate.

• Define data standards integration patterns and governance practices that allow the analytics platform to scale as new AI tools and data sources are added.

• Evaluate and recommend analytics tooling to ensure the platform remains best-in-class and aligned to Morningstar's enterprise technology strategy.

• 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.

• 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.

• Financial Health
  
  • 100% 401k match up to 6% of salary
  • Stock Ownership Potential
  • Company provided life insurance - 1x salary + commission
• Physical Health
  
  • Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2000 annually) for specific plans and coverages
  • Additional medical Wellness Incentives - up to $300-$600 annual
  • Company-provided long- and short-term disability insurance
• Emotional Health
  
  • Trust-Based Time Off
  • 6-week Paid Sabbatical Program
  • 6-Week Paid Family Caregiving Leave
  • Competitive 8-24 Week Paid Parental Leave
  • Adoption Assistance
  • Leadership Coaching & Formal Mentorship Opportunities
  • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
  • Tuition Reimbursement
• Social Health
  
  • Charitable Matching Gifts program
  • Dollars for Doers volunteer program
  • Paid volunteering days
  • 15+ Employee Resource & Affinity Groups

What We Do

At Morningstar we believe in building great products in-house in a highly collaborative agile environment where we focus on technical excellence the user experience and continuous improvement. Our technologists represent a range of skills and experience levels but they all view their work as a craft and push technology’s boundaries.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020 we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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