inSync Staffing
Data Analyst
Location:
Beaverton, OR (100% onsite).
Assignment:
18 month.
Employment type:
W2 (no 1099 or C2C)
Base pay range $55.00/hr - $60.00/hr
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 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
Soft Skills & Other Requirements
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
Bachelor’s degree preferred
8‑9 years’ experience in a data analyst role
Top must‑have skills: SQL, Python, visualization tools (Tableau, Power BI), data product lifecycle knowledge
Professionalism, business acumen, effective communication
Benefits (employee contribution)
Health insurance
Health savings account
Vision insurance
Flexible spending accounts
Life insurance
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Beaverton, OR (100% onsite).
Assignment:
18 month.
Employment type:
W2 (no 1099 or C2C)
Base pay range $55.00/hr - $60.00/hr
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 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
Soft Skills & Other Requirements
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
Bachelor’s degree preferred
8‑9 years’ experience in a data analyst role
Top must‑have skills: SQL, Python, visualization tools (Tableau, Power BI), data product lifecycle knowledge
Professionalism, business acumen, effective communication
Benefits (employee contribution)
Health insurance
Health savings account
Vision insurance
Flexible spending accounts
Life insurance
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr