

Perfict
Data Analyst (Sql & Python)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (SQL & Python) on a long-term contract, remote. Requires a Bachelor's degree, 5+ years of experience, strong SQL and Python skills, and healthcare experience preferred. Familiarity with BI tools, data structures, and data quality is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Science #BI (Business Intelligence) #Data Quality #Microsoft Power BI #Spark (Apache Spark) #Python #Data Manipulation #SQL (Structured Query Language) #Databricks #Data Analysis #PySpark
Role description
Job Title : Data Analyst (Sql & Python)
Location : Remote
Duration : Long Term
• Bachelor's degree required (Master's or PhD preferred)
• 5+ years of direct related experience
• Must have strong SQL AND Python experience. (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
Preferred Skills
• Healthcare his HIGHLY Preferred; integrated payer, provider model, clinical, insurance, operation healthcare data --> candidates with healthcare experience with take preference
• Databricks
• PySpark
Job Title : Data Analyst (Sql & Python)
Location : Remote
Duration : Long Term
• Bachelor's degree required (Master's or PhD preferred)
• 5+ years of direct related experience
• Must have strong SQL AND Python experience. (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
Preferred Skills
• Healthcare his HIGHLY Preferred; integrated payer, provider model, clinical, insurance, operation healthcare data --> candidates with healthcare experience with take preference
• Databricks
• PySpark






