Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst contract for "6 months" at a pay rate of "competitive" in a remote location. Key skills include "3+ years of Python (Pandas, scikit-learn), SQL (Oracle preferred), data analysis, and a Bachelor's in Computer Science, Engineering, or Math."
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 31, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Branchburg, NJ
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🧠 - Skills detailed
#Computer Science #Regression #Databases #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Analysis #Pandas #Visualization #Tableau #Leadership #Time Series #Capacity Management #Oracle #Python #Forecasting #Datasets
Role description
Required Skills & Experience β€’ 3+ years of experience doing python coding (Pandas, scikit-learn) β€’ Data analysis (time series analysis, regression analysis, and other relevant forecasting techniques) β€’ Ability to document all work and present to leadership (excel, Visio, email) β€’ Experience working with large datasets and data warehousing environments (need SQL-pulling data out of databases Oracle is preferred) β€’ Bachelors Degree in Computer Science, Engineering or Math Nice to Have Skills & Experience β€’ Data visualization experience (tableau, softspot) β€’ Experience doing capacity management Job Description As a contractor you'll collaborate closely with senior leadership within a leading telecom provider to shape strategic capacity planning. Your daily routine will involve leveraging your advanced Python skills (Pandas, scikit-learn) to develop, refine, and deploy sophisticated forecasting models for incoming work volumes, utilizing techniques like time series and regression analysis on large datasets. You'll be instrumental in transforming raw data into predictive intelligence, regularly presenting your findings and model performance to technical key stakeholders, and continuously iterating on solutions to ensure our operational forecasts are precise, actionable, and directly inform critical resource allocation decisions across the organization.