STAFFWORXS

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 2-3 years of experience in the banking sector. It is a 12+ month hybrid contract in Richmond, VA / McLean, VA, offering pay based on experience. Key skills include SQL, Python, and data governance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
280
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🗓️ - Date
November 19, 2025
🕒 - Duration
More than 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
Richmond, VA
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🧠 - Skills detailed
#Pandas #Data Governance #Data Cleansing #Python #Data Analysis #Data Quality #Data Engineering #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Extraction #Complex Queries #Data Manipulation #Documentation #BI (Business Intelligence) #Metadata
Role description
Job Title: Data Analyst Experience Level: 2-3 Years Location: Richmond, VA / McLean, VA / Hybrid Duration: 12+ Months Contract Client Industry: Banking Pay Rate: Open, Depending on Experience (DOE) 🚀 Position Summary We are seeking an enthusiastic Data Analyst with 2-3 years of experience to contribute to our data team within the banking sector. This role offers an opportunity to grow skills in requirements analysis, data governance, and hands-on data manipulation. The successful candidate will support senior team members by performing core analytical tasks, ensuring data quality, and assisting with reporting development using Python and SQL. 🔑 Key Responsibilities • Requirements Support: Assist senior analysts in internal customer meetings to understand and document basic data and reporting needs. • Documentation: Contribute to requirements mapping and basic documentation efforts to support data engineering partners. • Data Governance & Quality: Participate in Metadata registration activities and assist in configuring and testing basic data quality rules. • ETL Support: Support the coordination of testing efforts for ETL pipelines and validate results under guidance. • Hands-On Analysis & Reporting: Execute core analytical tasks, leveraging proficiency in SQL for data extraction and Python for manipulation. Assist in building and maintaining dashboards and reports. • Communication: Utilize strong communication skills to collaborate effectively with technical teams and business stakeholders. 🛠️ Required Skills & Qualifications • Experience: 2-3 years of professional experience in a data analysis or business intelligence role. • Technical Proficiency: Foundational, hands-on experience with SQL (writing complex queries) and working knowledge of Python for data tasks (e.g., Pandas). • Analytical Skills: Basic proficiency in data cleansing, analysis, and reporting development. • Data Familiarity: Understanding of core data concepts, including ETL processes, metadata, and data quality principles. • Communication: Ability to clearly articulate findings and requirements in both written and verbal formats.