Data Analyst 2

Job Title: Data Analyst (Retail Analytics & Finance)
Location: Seattle, WA (On-site MondayThursday)
Pay Rate: $52.82/hr On W2
Contract Duration: 1 Year
Schedule: 9:00 AM 5:00 PM (No On-Call/Pager Duty)
Role Overview
As an integral part of our Analytics team, you will be responsible for collecting, analyzing, and presenting data to improve decision-making within the merchandising and planning process. We are looking for a candidate with a high degree of business curiosity and the technical prowess to uncover impactful insights. You will communicate these findings in a way that builds confidence and enables decisions that drive significant business value.
A Day in the Life

• Stakeholder Partnership:Collaborate with key business partners to define and solve complex data analysis problems.
• Data Mining:Mine behavioral data and transform it into actionable information for the merchandising team.
• Advanced Analytics:Apply statistical methods, data modeling, and predictive analysis to answer strategic questions for the online business.
• Visualization:Use advanced techniques to communicate technical solutions to non-technical business stakeholders.
• Operational Excellence:Demonstrate ownership and initiative while delivering high-quality results in an efficient manner.

Technical Requirements & Qualifications
Must-Haves:

• Domain Expertise:Proven experience within theRetail Domainspecifically involvingFinance-related retail information.
• Technical Stack:Proficiency inPythonandTypeScript.
• Cloud & Data:Hands-on experience withData PipelinesandGCP (Google Cloud Platform).
• AI Literacy:A solid understanding ofAI conceptsand their application in data analytics.
• Location:Candidates must already be local toSeattle. (No relocation candidates will be considered).

Education & Experience:

• Education:Quantitative degree in Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
• Professional Experience:3+ years of corporate data analysis experience specifically inRetail Analytics.
• Database Skills:Strong, expert-level experience withSQL.
• Tools:Familiarity with BI tools such asPowerBIorLooker.

Soft Skills

• Communication:Ability to translate complex data results into clear narratives for non-experts.
• Curiosity:A natural drive to dig deeper into "the why" behind the data.
• Customer Service:High level of professionalism and commitment to supporting internal stakeholders.