Data Analyst- Seattle, WA

Confiz • Seattle, WA

22h • Onsite

About The Position

Confiz is seeking a Data Analyst to support a leading retail client in Seattle, WA. This role sits within the Analytics team and focuses on delivering insights that drive merchandising and planning decisions. The ideal candidate brings strong retail domain knowledge, financial acumen, and a curiosity for uncovering data-driven insights. We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field
• 3+ years of experience in data analysis, preferably within retail analytics
• Strong understanding of retail domain and finance-related retail data
• Proficiency in SQL and experience with Python and/or TypeScript
• Hands-on experience with data pipelines and cloud platforms (GCP preferred)
• Familiarity with AI/ML concepts and their application in analytics
• Experience with BI tools such as Power BI or Looker
• Strong analytical, problem-solving, and communication skills, with the ability to present insights to non-technical stakeholders
• Must be currently based in the Seattle area; candidates requiring relocation will not be considered

Nice To Haves

• Exposure to analytical tools such as R is a plus

Responsibilities

• Partner with business stakeholders to define and solve data analysis problems
• Analyze complex behavioral and transactional data to generate actionable insights
• Support merchandising and planning initiatives through data-driven recommendations
• Build and maintain data pipelines and support data integrations
• Apply statistical methods, data modeling, and predictive analysis to business questions
• Develop and present insights using advanced data visualization techniques
• Communicate findings clearly to both technical and non-technical audiences

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level