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Entry Level Customer Success Analyst

Data Freelance Hub, Seattle, WA, United States


Overview ⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for an Entry Level Customer Success Analyst in Seattle, Washington, with a 6-month contract. Candidates must have a degree in IT or Computer Science, with skills in analytics, project management, and Microsoft Azure tools.

Role and Location

Role: Entry Level Customer Success Analyst

Location: Seattle, Washington

Work Type: On-site, 6-month contract

Residency Requirement: Candidates must be legally authorized to work in the United States. Visa sponsorship is not available for this role.

Program Overview This role is part of a 6-month executive-sponsored talent acceleration program designed for early-career professionals. Participants will work on innovation-driven projects within the Customer Experience & Success (CEnS) organization, gaining hands-on exposure to AI, analytics, and strategic problem-solving while collaborating with senior leaders. The program focuses on rapid skill development, real business impact, and career acceleration.

Education Requirements

Required Major: IT or Computer Science related fields only.

Acceptable disciplines include:

Artificial Intelligence

Machine Learning / Applied Machine Learning

AI Engineering / Intelligent Systems

Data Science

Information Systems

Statistics / Applied Mathematics

Computer Science (AI, analytics, cloud focus)

Software Engineering (AI, automation exposure)

Human Computer Interaction / UX

Core Competencies

Analytical Thinking: Ability to analyze data, identify patterns, and derive insights

Communication Skills: Present insights and findings clearly to stakeholders

Project Management Fundamentals: Understanding of timelines, deliverables, and stakeholder coordination

Technical Awareness: Basic knowledge of Microsoft Azure, cloud computing, and Microsoft ecosystem tools (Teams, SharePoint)

Preferred Skills

Experience through coursework, projects, or internships in: Agentic AI solutions or AI-driven automation workflows

Data analysis using Excel, Power BI, or similar tools

Structured problem-solving approaches

Prototype development and solution design

Ability to move from problem identification → hypothesis → prototype

Work Location Details Work Location: In person

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