Data Analyst 4
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Role details
Tech stack
Job description
Our client, a leading athletic footwear and apparel manufacturing company, is looking for a Data Analyst 4. This is for an initial duration of 08 months and is located at Beaverton, OR., * We are seeking a highly analytical and business-focused Data Analyst with deep expertise in Business Intelligence, data visualization, and AI-enabled analytics solutions. This individual will leverage data to analyze complex business problems, generate actionable insights, and support data-driven decision making across the organization.
The ideal candidate will identify and interpret trends, patterns, and anomalies within large datasets, develop and validate key performance indicators (KPIs), and design queries and analytical models that quantitatively measure business performance. This role is responsible for translating business requirements into reporting and dashboard specifications and delivering scalable analytics solutions using Agentic AI platforms such as Claude.
Requirements
Data Analysis, Apparel Manufacturing, Data Analysis, Apparel Industry, Data Visualization, Business Intelligence, Artificial Intelligence (AI), Analysis Skills, Business Analysis, Problem Solving Skills, * Minimum of 8 or 9 years directly relevant work experience
- Must also be knowledgeable in Agile and development methodologies and be familiar with Jira, including Jira automation.
- Success in this role requires strong communication and the candidate must be comfortable presenting findings, recommendations, and strategic insights to senior leaders and executive audiences.
Desired Candidate Profile:
- Minimum required years of experience: 8+ years of experience
Must have skills:
- Must have Jira experience, including Jira automation
- Agile experience and speak to their experience in the interview process
- Agentic AI platforms such as Claude
Nice to have skills:
- Confluence experience
Software/technical requirements:
- No certifications will be required for this role
- Previous industry experience preference:
- Would be nice to have but not required
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