Perfict
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a Bachelor's degree (Master's or PhD preferred), 5+ years of experience, strong SQL and Python skills, and deep knowledge of data structures. Remote, long-term contract; pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 28, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #BI (Business Intelligence) #Data Science #Data Manipulation #SQL (Structured Query Language) #Data Analysis #Data Quality #Microsoft Power BI
Role description
Job Title : Data Analyst
Location : Remote
Type : Long Term
Roles & Responsibilities
• Bachelor's degree required (Master's or PhD preferred)
• 5+ years of direct related experience
• Must have strong SQL AND Python experience. Not just for pulling data but utilizing SQL and Python for data validation (SQL and Python assessment will be required)
• Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques): I.e.
• Data shape, structure, relationships
• Data quality, lineage, consistency
• Making data usable, reliable and interpretable for analytics teams, BI or the business
• Standard data science skills; must have exploratory data analysis experience
• BI tools experience - highly preferred Power BI
• Data manipulation and reporting
Job Title : Data Analyst
Location : Remote
Type : Long Term
Roles & Responsibilities
• Bachelor's degree required (Master's or PhD preferred)
• 5+ years of direct related experience
• Must have strong SQL AND Python experience. Not just for pulling data but utilizing SQL and Python for data validation (SQL and Python assessment will be required)
• Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques): I.e.
• Data shape, structure, relationships
• Data quality, lineage, consistency
• Making data usable, reliable and interpretable for analytics teams, BI or the business
• Standard data science skills; must have exploratory data analysis experience
• BI tools experience - highly preferred Power BI
• Data manipulation and reporting
