inSync Staffing

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 8+ years of experience, proficient in SQL, Python, and visualization tools like Power BI or Tableau. The 18-month contract is onsite in Beaverton, OR, offering $55.00-$60.00/hr, focusing on manufacturing and supply chain analytics.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
November 4, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Tableau #BI (Business Intelligence) #GCP (Google Cloud Platform) #Leadership #Data Ingestion #Data Storytelling #Databricks #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Scrum #Storytelling #AWS (Amazon Web Services) #Microsoft Power BI #Cloud #Data Lake #Snowflake #Data Lakehouse #Python #Azure #Visualization #Agile #Scala #Data Analysis #Data Engineering
Role description
Data Analyst $55.00-$60.00/hr W2 (no 1099 or C2C) Onsite: Beaverton, OR - 100% onsite 18 month assignment 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 β€’ Lead the development of end-to-end reporting solutions for the Men’s & Women’s World Cup initiative β€’ Design and implement data ingestion processes, including user-managed files (e.g., Excel) β€’ Enrich raw data by applying business logic and transformation rules β€’ Build and maintain ETL pipelines to support reporting and analytics needs β€’ Collaborate with material supply engineering teams to gather and refine business requirements β€’ Develop front-end dashboards using tools like Power BI or Tableau β€’ Translate complex technical concepts into clear, actionable insights for executive stakeholders β€’ Ensure data availability and accessibility for cross-functional teams Required Qualifications β€’ Minimum 8 years of experience in data analytics or data engineering β€’ Proficiency in SQL and Python β€’ Hands-on experience with Power BI or Tableau β€’ Familiarity with Data Lakehouse platforms (e.g., Databricks, Snowflake) β€’ Experience in manufacturing or supply chain environments β€’ Strong understanding of Agile/Scrum methodologies β€’ Exceptional communication and stakeholder management skills β€’ Proven ability to work independently and drive projects forward Preferred Qualifications β€’ Experience with cloud platforms (Azure, AWS, GCP) β€’ Familiarity with CI/CD pipelines for data workflows β€’ Background in sports analytics or event-based reporting β€’ Experience working in global, cross-functional teams What We’re Looking For β€’ Strong problem-solving mindset and attention to detail β€’ Ability to thrive in fast-paced, ambiguous environments β€’ Collaborative and proactive approach to stakeholder engagement β€’ Passion for data storytelling and driving business impact Why Join Us? β€’ Influence high-visibility initiatives with global impact β€’ Collaborate with senior leadership and diverse teams β€’ Opportunity to grow into a strategic data leadership role β€’ Be part of a team that shapes the future of sports and innovation - Bachelor’s degree preferred for this role - 8-9 years’ experience required in a data analyst role Top must-have skills include the following: - SQL - Python - Backend development experience (aka data engineering) - Experience with visualization tools (Tableau, Power BI) - Data product lifecycle knowledge Desired 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) - Tableau experience preferred - Databricks experience preferred Benefits (employee contribution): Health insurance Health savings account Dental insurance Vision insurance Flexible spending accounts Life insurance Retirement plan 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.