Morningstar

Morningstar

Service Delivery and IT Ops Data Analyst

Toronto

Sponsorship not specified$60k-$102kDetected 12 days ago
Data StructuresSnowflakeAWSData AnalysisData VisualizationLLMsAgentic AICybersecurityCommunicationCollaboration

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.
  • Knowledge Worker Productivity Measurement
  • 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.
  • 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, and 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

  • Compensation Range $60,023 - $ 102,070 CAD
  • Incentive Target Percentage

Benefits

  • A range of other benefits are also available to enhance flexibility as needs change.

Company info

  • If you are energized by building from scratch, thrive in ambiguity, comfortable with a fast moving environment, and want your analytics work to directly shape how a global company runs its AI strategy this role is for you.

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.