Data Analyst 2
Tailored Management
Data Analyst (Retail Analytics & Finance)
Location: Seattle, WA (On-site Monday–Thursday) 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 the Retail Domain specifically involving Finance-related retail information.
- Technical Stack: Proficiency in Python and TypeScript.
- Cloud & Data: Hands-on experience with Data Pipelines and GCP (Google Cloud Platform).
- AI Literacy: A solid understanding of AI concepts and their application in data analytics.
- Location: Candidates must already be local to Seattle. (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 in Retail Analytics.
- Database Skills: Strong, expert-level experience with SQL.
- Tools: Familiarity with BI tools such as PowerBI or Looker.
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.
Vacancy posted 3 days ago
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