Market Intelligence Analyst

Overview

Builds Power BI dashboards, data models and AI agents for GE HealthCare's Global Marketing Analytics team, working on the delivery side under a technical lead.

What you'll do

• Build Power BI dashboards and reports from approved requirements through to release.
• Develop reusable semantic models, DAX measures, Power Query transformations and SQL components, applying agreed KPI definitions and visualization, accessibility and usability standards consistently.
• Build and iterate on AI agents, including agent logic, prompts, data connections and integrations to governed data.
• Test agent accuracy and behavior and fix defects raised during evaluation.
• Follow repeatable QA, documentation and release practices and help improve deployment and version management.
• Monitor refresh failures, defects and performance issues and resolve them promptly.
• Participate in stakeholder workshops, demonstrations and user-acceptance testing, and turn feedback into build changes.
• Work to defined standards under the guidance of a technical lead, accept peer review, and develop technical depth through hands-on delivery.

What you'll need

• Bachelor's degree from an accredited university or college in Analytics, Statistics, Computer Science, Engineering, Marketing or a related quantitative field.
• Maximum of 5 years of experience in business intelligence, data analytics or a comparable data discipline.
• Strong internships, academic or personal projects are considered relevant experience.
• 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, with the ability to profile and validate source data.
• 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.

Nice to have

• Clear oral and written communication skills, with the ability to explain a chart, metric or agent response to a non-technical audience.
• Comfortable working to defined standards, documenting work and accepting peer review.
• 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.
• Awareness of prompt engineering, retrieval-augmented generation, evaluation methods and responsible-AI practices.

Details

• Location: Bengaluru, Kalyani Platina, Magnolia (India).
• Relocation assistance: not provided.