Net2Source Inc.
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst based in Plano, TX, with a contract duration of 12+ months. Key skills include Tableau, Power BI, SQL, and Python. A Bachelor's degree in a relevant analytical field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
552
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🗓️ - Date
April 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Manipulation #Tableau #Microsoft Power BI #BI (Business Intelligence) #Data Analysis #SQL (Structured Query Language) #Python #Data Cleaning #Computer Science #Statistics
Role description
"ONLY LOOKING FOR PLANO, TX LOCAL CANDIDATES"
Title: Business Data Analyst
Shift Timings: (8:00 am to 5:00 pm CST)
Duration: 12+ months with the possibility of extensions
Qualifications:
• Developing and maintaining dashboards, with the resource responsible for reporting, automating dashboards, and performing ad-hoc analytics and reporting.
• Hands-on experience with Tableau, Power BI, SQL and Python.
• Minimum Bachelor’s or higher degree in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/STEM field is required.
• 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.
"ONLY LOOKING FOR PLANO, TX LOCAL CANDIDATES"
Title: Business Data Analyst
Shift Timings: (8:00 am to 5:00 pm CST)
Duration: 12+ months with the possibility of extensions
Qualifications:
• Developing and maintaining dashboards, with the resource responsible for reporting, automating dashboards, and performing ad-hoc analytics and reporting.
• Hands-on experience with Tableau, Power BI, SQL and Python.
• Minimum Bachelor’s or higher degree in Analytics, Statistics, Finance, Accounting, Math, Computer Science, Economics, Engineering or similar analytical/STEM field is required.
• 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.
