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About
Job Title: Data Analyst 4
Reference ID:
26-01869
Location: Beaverton, OR.
Duration: 12 months
Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)
Lead Data Analyst
:
Hybrid
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 Client's product engineering teams and supply chain operations.
Key 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
Required Qualifications:
Minimum 8 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, GCP)
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)
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
Why Join Us?
Influence high-visibility initiatives with global impact
Collaborate with senior leadership and diverse teams
Opportunity to grow into a strategic data leadership role
Be part of a team that shapes the future of sports and innovation
Desired Candidate Profile:
8/9 years' experience required in a data analyst role
Bachelor's degree preferred for this role
Must have skills:
Cursor, CLAUDE exp required ****
Software development lifecycle experience is important****
SQL
Python
Backend development experience (aka data engineering)
Experience with visualization tools ( Power BI)
Soft Skills:
Problem solving mindset, professionalism, business acumen
Effective communication; being able to take technical information and communicate it in a more business savvy way)
Nice to Have:
Supply chain/manufacturing background
Tableau experience
Databricks experience
Previous Client experience is a plus, not required (open to solid projects/ experience).
Interested and Qualified candidates, please send your most recently updated word document resume to .
Languages
- English
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