Kaygen, Inc.
Data Analyst (Only Local and W2 Candidate)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a Bachelor's degree in a quantitative STEM field, requiring high proficiency in SQL, Python, R, Excel, PowerPoint, and Tableau. The contract is on-site, with an in-person interview required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Cleaning #Tableau #Data Manipulation #SQL (Structured Query Language) #R #Data Analysis #Statistics #Python #Visualization
Role description
Only W2 and Local candidate
Require - In-person interview.
The ideal candidate will use their passion for data analytics to provide insights to the business.
Requirement:
• Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
• High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews).
• High proficiency and professional experience with Excel, PowerPoint and Tableau.
• High proficiency and professional experience with data acquisition, data manipulation, data cleaning.
• High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis.
• Proficiency with statistics and predictive modelling techniques.
• Comfort with presenting ideas virtually or in-person to audiences of various sizes.
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
Only W2 and Local candidate
Require - In-person interview.
The ideal candidate will use their passion for data analytics to provide insights to the business.
Requirement:
• Bachelor's degree or higher in Statistics, Finance, Accounting, Math, Economics, Engineering, Analytics, or similar quantitative STEM field.
• High proficiency and professional experience coding in SQL, Python and/or R (tested during interviews).
• High proficiency and professional experience with Excel, PowerPoint and Tableau.
• High proficiency and professional experience with data acquisition, data manipulation, data cleaning.
• High proficiency and professional experience identifying trends and indicators through quantitative and qualitative analysis.
• Proficiency with statistics and predictive modelling techniques.
• Comfort with presenting ideas virtually or in-person to audiences of various sizes.
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion
