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Data Analyst (Retail Domain)

Beaverton, OR, US • Posted 20 hours ago • Updated 39 minutes ago

Contract Independent

Contract W2

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Agile
Data Analysis
Extract, Transform, Load
Microsoft Power BI
Microsoft Excel
SQL
Reporting
Databricks
datalake

Summary

This role will be onsite role, prefer only locals

About the Role

This role is ideal for a highly technical, self-motivated analyst with a passion for storytelling through data. You’ll work closely with product engineering and manufacturing stakeholders to design and implement scalable data workflows, build intuitive dashboards, and ensure timely access to metrics that drive strategic decisions.

You’ll be responsible for the full lifecycle of data reporting — from ingestion and enrichment to visualization and stakeholder engagement — with a focus on supporting our product engineering teams and supply chain operations.

What We’re Looking For

Strong problem-solving mindset and attention to detail
Ability to thrive in fast-paced, ambiguous environments
Collaborative and proactive approach to stakeholder engagement
Passion for data storytelling and driving business impact

Responsibilities

Lead the development of end-to-end reporting solutions for the Men’s & Women’s World Cup initiative
Design and implement data ingestion processes, including user-managed files (e.g., Excel)
Enrich raw data by applying business logic and transformation rules
Build and maintain ETL pipelines to support reporting and analytics needs
Collaborate with material supply engineering teams to gather and refine business requirements
Develop front-end dashboards using tools like Power BI or Tableau
Translate complex technical concepts into clear, actionable insights for executive stakeholders
Ensure data availability and accessibility for cross-functional teams

Qualifications

Minimum 9 years of experience in data analytics or data engineering
Proficiency in SQL and Python
Hands-on experience with Power BI or Tableau
Familiarity with Data Lakehouse platforms (e.g., Databricks, Snowflake)
Experience in manufacturing or supply chain environments
Strong understanding of Agile/Scrum methodologies
Exceptional communication and stakeholder management skills
Proven ability to work independently and drive projects forward

Preferred Qualifications

Experience with cloud platforms (Azure, AWS, Google Cloud Platform)
Familiarity with CI/CD pipelines for data workflows
Background in sports analytics or event-based reporting
Experience working in global, cross-functional teams
AI/ BI skills (cursor or databricks)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111826
Position Id: 8947502
Posted 20 hours ago

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