Market Intelligence Analyst

Posted Yesterday
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Magnolia, AR, USA
In-Office
Senior level
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
Builds Power BI dashboards, semantic models, DAX measures, Power Query transformations, and SQL components for marketing analytics. Develops and evaluates AI agents using governed data, supports QA and release practices, monitors data refreshes and defects, and participates in stakeholder workshops, demonstrations, and user-acceptance testing. The role works under technical leadership while developing analytics engineering expertise.
Summary Generated by Built In
Job Description SummaryThe Market Intelligence Analyst joins GE HealthCare’s Global Marketing Analytics team to build the Power BI dashboards and data models that marketing leaders use to make decisions, and to help develop AI agents that make those insights easier to access. Working on the delivery side, the role turns requirements and KPIs defined by business partners into working analytics products. The analyst works alongside an experienced technical lead who sets standards and reviews work, making this a strong early-career opportunity to build engineering discipline.
GE HealthCare is a leading global medical technology, pharmaceutical diagnostics and digital solutions innovator. In India, we operate through a multi-entity structure spanning manufacturing, R&D, sales and service, and a long-standing joint venture, Wipro GE Healthcare.

Job Description

Roles and Responsibilities

  • Builds Power BI dashboards and reports from approved requirements through to release. Develops reusable semantic models, DAX measures, Power Query transformations and SQL components, applying agreed KPI definitions and visualization, accessibility and usability standards consistently.
  • Builds and iterates on AI agents, including agent logic, prompts, data connections and integrations to governed data. Tests agent accuracy and behavior and fixes defects raised during evaluation.
  • Follows repeatable QA, documentation and release practices and helps improve deployment and version management. Monitors refresh failures, defects and performance issues and resolves them promptly.
  • Participates in stakeholder workshops, demonstrations and user-acceptance testing, and turns feedback into build changes. Works to defined standards under the guidance of a technical lead, accepts peer review, and develops technical depth through hands-on delivery.

Required Qualifications

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

Desired Characteristics

  • 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.

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

Disclaimer: GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare.  If you suspect you have received a fraudulent call , please fill out the form below: https://www.ge.com/careers/fraud


#LI-RS1

Additional Information

Relocation Assistance Provided: No

Skills Required

  • Bachelor's degree 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
  • Strong Power BI skills, including report building, DAX, Power Query, and dimensional modeling using star schemas
  • Working SQL skills, including joins, aggregations, filtering, window functions, source-data profiling, and validation
  • Practical experience building AI or large language model tools such as agents, copilots, chatbots, or retrieval-augmented prototypes
  • Clear oral and written communication skills for explaining metrics, charts, and agent responses to nontechnical audiences
  • Experience with marketing data sources such as Adobe Analytics, Google Analytics, Salesforce, Marketo, LinkedIn, Meta, Sprinklr, or Meltwater
  • Experience with 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

GE Healthcare Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Healthcare and has not been reviewed or approved by GE Healthcare.

  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive, including medical, dental, and vision options with HSA-eligible choices and preventive care coverage. Mental health and well-being support programs are also emphasized as part of the overall package.
  • Retirement Support — Retirement support is described as meaningful, with a 401(k) match and additional programs such as student-loan matching in some descriptions. Legacy pension and retiree medical obligations for certain closed groups also signal continued support for long-tenured populations.
  • Strong & Reliable Incentives — Variable and role-linked earning opportunities appear attractive in some job families, including high on-target earnings potential in certain sales roles. Additional role-based perks like company cars and travel-related reimbursements further increase the perceived value of total rewards in those positions.

GE Healthcare Insights

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The Company
HQ: Chicago, IL
50,282 Employees
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence. As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world. We embrace a culture of respect, transparency, integrity and diversity.

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