

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst focused on Python and SQL, offering a 6-month contract in Charlotte, NC (Hybrid). Pay is $54/hr W2. Requires 1-4 years of experience in Python, SQL, and advanced Excel, with a strong analytical mindset.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 24, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Charlotte, NC
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π§ - Skills detailed
#Business Analysis #Data Extraction #SQL (Structured Query Language) #Data Manipulation #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #NumPy #Pivot Tables #Python #Pandas #Data Integrity #SQL Queries #Data Analysis #Data Pipeline
Role description
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Job Title: Data Analyst β Python & SQL Focus
Location: Charlotte, NC (Hybrid, 3 Days Onsite)
Pay: %54/hr W2 ONLY, NO C2C
Duration: 6 Months Contract
Job Description:
We are seeking a Data Analyst with hands-on experience in Python, SQL, and Excel to support data pipeline development, data analysis, and business intelligence initiatives. The ideal candidate will have 1β4 years of relevant experience, a strong analytical mindset, and a desire to grow in a data-driven environment.
Key Responsibilities:
β’ Develop and maintain Python-based data pipelines for efficient data extraction, transformation, and loading.
β’ Write advanced SQL queries to retrieve, analyze, and manipulate data across multiple sources.
β’ Use Excel (including VLOOKUPs and Pivot Tables) to support ad hoc analysis and reporting.
β’ Work with business analysts and stakeholders to understand and translate business needs into data solutions.
β’ Support basic business analysis activities such as gathering requirements, documenting use cases, and assisting with validation and testing.
β’ Assist in automating routine data processes and enhancing data integrity checks.
Required Skills:
β’ 1β2 years of experience in advanced Excel (VLOOKUPs, Pivot Tables).
β’ 1β2 years of experience in advanced SQL query writing.
β’ 2β4 years of Python experience, with a focus on data manipulation and pipeline development.
β’ 2β4 years of experience working with Python data tools (e.g., Pandas, NumPy).
β’ 2β4 years of experience in business analysis or similar roles.