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W2 Contract || Data Analyst with SAS Reports/Analytics, PL/SQL and Excel.
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a W2 Contract Data Analyst position requiring 10+ years of experience in SAS reports/analytics, PL/SQL, and Excel. Key skills include data collection, management, analysis, and interpretation. Location and pay rate details are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Hanover, NJ
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🧠 - Skills detailed
#SAS #SQL (Structured Query Language) #Data Analysis #Databases #Data Quality #Data Interpretation #Datasets
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Enterprise Business Solutions Inc, is seeking the following. Apply via Dice today!
JD::
Job Description:
• Skilled and experienced as Data Analyst with more 10+ years of experience in analyzing the data and generating insights and impact analysis for the data in SAS reports/Analytics, PL/SQL, Excel data.
• Data collection and management: Gather data from various sources, maintain databases, and ensure data quality.
• Data analysis: Use statistical techniques to analyze large datasets, identify trends, and find patterns.
• Data interpretation and reporting: Translate complex data into understandable insights, reports, and dashboards for business leaders.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Enterprise Business Solutions Inc, is seeking the following. Apply via Dice today!
JD::
Job Description:
• Skilled and experienced as Data Analyst with more 10+ years of experience in analyzing the data and generating insights and impact analysis for the data in SAS reports/Analytics, PL/SQL, Excel data.
• Data collection and management: Gather data from various sources, maintain databases, and ensure data quality.
• Data analysis: Use statistical techniques to analyze large datasets, identify trends, and find patterns.
• Data interpretation and reporting: Translate complex data into understandable insights, reports, and dashboards for business leaders.