Seneca Resources Company, LLC

Data Analyst -- 17050

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Vienna, VA (hybrid, 3 days onsite) with a contract length of unspecified duration, offering $60/hr on W2. Requires 5-10 years of experience in data analysis, business intelligence, and familiarity with data governance practices.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
June 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Vienna, VA
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🧠 - Skills detailed
#Visualization #Data Catalog #Microsoft Power BI #Data Management #BI (Business Intelligence) #Data Quality #Data Accuracy #Data Governance #Datasets #Data Framework #Strategy #Metadata #Compliance #Data Science #Big Data #Data Analysis #Leadership
Role description
Position Title: Data Analyst Location: Β Vienna, VA - hybrid (3 days a week onsite) Years of Experience: 5 - 10 yrs Pay Rate: $60/hr on W2 Overview:Β The Data Analyst supports the Lending Data Governance function by delivering advanced analytics, business intelligence, and data quality capabilities that enable data-driven decision-making and operational improvements. This role operates within Lending Strategy’s Data Governance Team and is responsible for performing complex analytical and statistical modeling on large data sets to support business operations and strategic objectives. The analyst partners with business stakeholders, data stewards, and technology teams to define data requirements, validate data accuracy, and produce actionable insights. The role also contributes to metadata management and data governance initiatives that improve data reliability and consistency across the enterprise. Responsibilities β€’ Develop and maintain advanced reporting, dashboards, and analytical models to support business objectives β€’ Define and validate functional requirements for analytics and business intelligence solutions β€’ Retrieve, clean, and analyze data to ensure accuracy and integrity of reported results β€’ Identify trends and patterns in business data and create visualizations to support decision-making β€’ Collaborate with business units to conduct needs assessments and deliver data-driven solutions β€’ Support data science and large-scale data initiatives through data preparation and analysis β€’ Maintain and enhance metadata artifacts, including Data Catalog and Power BI reporting assets β€’ Evaluate and improve the Data Governance and Metadata Collection Framework β€’ Mentor junior staff and contribute to development of best practices in analytics and governance β€’ Ensure compliance with data governance standards and support implementation of data quality controls β€’ Communicate analytical results effectively to stakeholders and leadership Qualifications and Soft Skill Requirements Required Qualifications β€’ Experience in data analysis, business intelligence, or analytics within an enterprise environment β€’ Demonstrated experience working with large datasets and performing complex analysis β€’ Experience developing dashboards, reports, and data visualizations β€’ Familiarity with data governance practices, metadata management, and data quality controls β€’ Experience working with cross-functional teams to define and validate data requirements Soft Skill Requirements β€’ Strong analytical and problem-solving skills β€’ Ability to translate analytical results into business insights β€’ Effective communication skills for both technical and non-technical audiences β€’ Strong collaboration skills across business, governance, and technology teams β€’ Attention to detail with focus on data accuracy and integrity β€’ Ability to manage multiple priorities in a fast-paced environment Desired Skills β€’ Experience with Power BI or similar business intelligence tools β€’ Familiarity with data catalog platforms and metadata management processes β€’ Exposure to data governance frameworks and enterprise data standards β€’ Experience supporting data science or big data initiatives β€’ Knowledge of financial services or lending domain data β€’ Experience mentoring or guiding junior analysts β€’ Experience contributing to data governance or metadata framework improvements