Intracruit Solutions
Sr. BI Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. BI Analytics Engineer, 9 months remote (EST hours), offering competitive pay. Requires 7+ years in BI/data analytics, expertise in Power BI, Snowflake, advanced SQL, Python/R, and machine learning frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#TensorFlow #Python #GIT #"ETL (Extract #Transform #Load)" #Data Modeling #SQL (Structured Query Language) #Microsoft Power BI #Predictive Modeling #PyTorch #R #BI (Business Intelligence) #Snowflake #ML (Machine Learning) #DAX
Role description
Duration - 9 months
Location - 100% remote - EST hours
LinkedIn should be created before 2020 and should be verified - no google voice number
Sr. BI Analytics Engineer
Experience:
• 7+ years of experience in BI, analytics engineering, or data analytics roles.
• Strong expertise in Power BI: DAX, Power Query (M), Data modeling and performance optimization
• Extensive experience with Snowflake: Analytics data modeling, Query optimization and cost management, Secure data sharing
• Advanced SQL skills.
• Proficiency in Python or R for analytics and ML development.
• Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
• Strong understanding of statistical analysis and predictive modeling techniques.
• Experience with ETL/ELT concepts and analytics engineering workflows.
• Familiarity with Git and CI/CD for analytics and ML solutions.
• Excellent communication and stakeholder management skills.
Duration - 9 months
Location - 100% remote - EST hours
LinkedIn should be created before 2020 and should be verified - no google voice number
Sr. BI Analytics Engineer
Experience:
• 7+ years of experience in BI, analytics engineering, or data analytics roles.
• Strong expertise in Power BI: DAX, Power Query (M), Data modeling and performance optimization
• Extensive experience with Snowflake: Analytics data modeling, Query optimization and cost management, Secure data sharing
• Advanced SQL skills.
• Proficiency in Python or R for analytics and ML development.
• Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
• Strong understanding of statistical analysis and predictive modeling techniques.
• Experience with ETL/ELT concepts and analytics engineering workflows.
• Familiarity with Git and CI/CD for analytics and ML solutions.
• Excellent communication and stakeholder management skills.
