nTech Workforce

Quantitative Data Analyst - W2 ONLY

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Data Analyst with a 24-month W2 contract, based onsite in Philadelphia, PA. Requires a Bachelor's degree, 5-10 years of experience, and advanced skills in SQL, Power BI, and Python, focusing on automation and reporting.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 19, 2026
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
Philadelphia, PA
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🧠 - Skills detailed
#SQL (Structured Query Language) #Python #Microsoft Power BI #Automation #BI (Business Intelligence) #Data Analysis
Role description
β€’ β€’ β€’ This is a 100% onsite job position in Philadelphia, PA 19103 β€’ β€’ β€’ This is a W2 position β€’ β€’ β€’ C2C/OPT-EAD Candidates are not eligible to apply for this role. Role: Quantitative Data Analyst W2 Contract-to-Hire: 24 Months Location: Onsite in Philadelphia, PA 19103 Overview β€’ Our client is seeking a Quantitative Analyst to join their team to focus on automation and reporting projects. This role is a full-time, onsite position where the successful candidate will work within a collaborative team environment to drive efficiency through technical solutions. Responsibilities β€’ Develop and implement automation solutions to streamline business processes. β€’ Create and maintain complex reports to support data-driven decision-making. β€’ Collaborate with team members on specific technical and software-related projects. β€’ Utilize SQL, Power BI, and Python to manage and analyze data sets effectively. Required Skills & Experience β€’ Bachelor's degree in a relevant field. β€’ 5-10 years of professional experience. β€’ 5+ years of specific experience in automation. β€’ Advanced proficiency in SQL. β€’ Advanced proficiency in Power BI. β€’ Advanced proficiency in Python. β€’ Proven ability to work effectively within a team structure. Preferred Skills & Experience Master s degree in a quantitative or technical discipline. Previous experience working on large-scale reporting and automation initiatives