Market Intelligence Analyst

GE HealthCare is seeking a Market Intelligence Analyst to join the Global Marketing Analytics team, building Power BI dashboards and data models that marketing leaders use to make decisions, and helping develop AI agents to make those insights easier to access.

Key Responsibilities

• Builds Power BI dashboards and reports from approved requirements through to release, developing reusable semantic models, DAX measures, Power Query transformations and SQL components.

• Builds and iterates on AI agents, including agent logic, prompts, data connections and integrations to governed data, testing agent accuracy and behavior.

• Follows repeatable QA, documentation and release practices and helps improve deployment and version management, monitoring refresh failures and defects.

• Participates in stakeholder workshops, demonstrations and user-acceptance testing, turning feedback into build changes under the guidance of a technical lead.

Requirements

• Bachelor’s degree from an accredited university or college in Analytics, Statistics, Computer Science, Engineering, Marketing or a related quantitative field.

• Minimum 5+ years of experience in business intelligence, data analytics or a comparable data discipline.

• Hands-on Power BI skills including report building, DAX, Power Query and dimensional modeling (star schema).

• Working SQL skills including joins, aggregations, filtering and window functions.

• Practical exposure to building with AI and large language model tools such as agents, copilots, chatbots or retrieval-augmented prototypes, using platforms like Microsoft Copilot Studio or Azure OpenAI.

Preferred Qualifications

• Familiarity with marketing data sources such as Adobe Analytics, Google Analytics, Salesforce (SFDC), Marketo, LinkedIn, Meta, Sprinklr or Meltwater.

• Experience with the Power BI service, including workspaces, deployment pipelines, row-level security, gateways and refresh scheduling.

• Exposure to Microsoft Fabric, Azure Data Factory, Databricks, Snowflake or comparable cloud data platforms.