Associate Analytics Consultant
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Job Description
Analytics Associate Consultant part of client delivery team responsible for GE HealthCare Command Center solutions. Collaborate with multidisciplinary teams to enhance analytics solutions with strong analytical skills.
Responsibilities:
- Support the development and refinement of analytics products by assisting with requirements gathering, documentation, and tracking feature requests
- Analyze client and internal user feedback to help identify product enhancement opportunities and usability improvements
- Assist senior team members in translating business and client needs into analytical use cases, dashboards, or prototype solutions
- Contribute to product testing and quality assurance by validating data outputs, identifying bugs, and documenting issues
- Help maintain product documentation, including data definitions, process flows, user guides, and release notes
- Collaborate with cross‑functional teams (analytics, engineering, design, and activation) to support product build and iteration cycles
- Work alongside program team to engage with clients to validate analytics, gather feedback, and support coaching on interpretation and use of Command Center Tiles to achieve programmatic goals
- Contribute to the preparation of high‑quality, on‑time, and on‑budget deliverables by managing assigned tasks within broader client engagements
- Support client relationship management efforts by participating in meetings with client stakeholders, including IT leaders and mid‑level managers, and contributing thoughtfully to discussions
- Help prepare succinct, clear, and well‑structured client‑ready content, including analysis summaries and executive‑level presentation materials
- Proactively surface potential client needs, risks, or opportunities based on data analysis or client interactions, escalating insights to senior team members
Requirements:
- Bachelor's Degree in Industrial or Electrical Engineering , Math or Statistics or related discipline.
- Formal problem solving, logic.
- Experience with analytic techniques: regression analysis, simulation modeling, timeseries forecasting, hypothesis testing using R, SAS or similar software.
- Experience programming in Java, C# or similar production level language applied to data management, algorithms and automation.
- Experience with Microsoft Office programs.
- Data management in SQL or Oracle, understanding of Data Mining principles and strategies.
- Hands on experience with data visualization and dashboard development in Tableau, Qlik or similar.
- Excellent communication skills, teamwork.
- Ability to travel minimum 75%.
Benefits:
- medical, dental, vision
- paid time off
- 401(k) plan with employee and company contribution opportunities
- life, disability, and accident insurance
- tuition reimbursement
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