24 Seven Talent

Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst 3 – Data & Analytics from January 5, 2026, to May 29, 2026, offering a hybrid work model. Key skills include advanced SQL, Tableau, and Python or R, with preferred experience in retail analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 20, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Beaverton, OR
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🧠 - Skills detailed
#Data Manipulation #R #"ETL (Extract #Transform #Load)" #SQL Queries #Visualization #Tableau #SQL (Structured Query Language) #Datasets #Business Analysis #Data Analysis #Python
Role description
Job Title: Business Analyst 3 – Data & Analytics Contract Duration: January 5, 2026 – May 29, 2026 Position Overview The Business Analyst 3 – Data & Analytics will support merchandising and analytics initiatives by delivering actionable insights through advanced data analysis and visualization. This role partners closely with cross-functional stakeholders to analyze large datasets, support demand and performance analytics, and inform business decision-making. Key Responsibilities • Analyze large and complex datasets to support merchandising and sport analytics initiatives • Develop, maintain, and enhance dashboards and reports using Tableau • Write and optimize SQL queries to extract, transform, and analyze data • Utilize Python or R for advanced analytics, modeling, and data manipulation • Analyze point-of-sale (POS) data to identify trends, risks, and opportunities • Translate analytical findings into clear insights and recommendations for business partners • Support demand planning and performance analysis through data-driven insights • Collaborate with analytics, merchandising, and planning teams to ensure alignment Qualifications Required: • Bachelor’s degree • Strong SQL skills with demonstrated proficiency in Python or R • Advanced experience with Tableau • Proven background in data analytics • Experience working with point-of-sale (POS) data (highly preferred) Preferred: • Prior experience supporting demand planning or merchandising analytics • Experience in retail, consumer goods, or similar data-driven environments • Ability to communicate complex analytical insights to non-technical stakeholders Work Model • Traditional hybrid schedule • On-site Monday–Thursday; remote on Fridays