Business Intelligence Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst with a contract length of "unknown" and a pay rate of "unknown." Key skills include SQL, Python, and experience in customer experience analytics. A Master’s degree and 5+ years in data analytics are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
California, United States
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🧠 - Skills detailed
#Microsoft Power BI #Visualization #Statistics #BI (Business Intelligence) #Computer Science #GIT #ML (Machine Learning) #R #Agile #Python #SQL (Structured Query Language) #Mathematics #Datasets #NLP (Natural Language Processing) #Data Science #Tableau
Role description
Data Analytics Engineer
Responsibilities
• Develop and maintain data models, reports, and dashboards to track customer journey insights.
• Analyze large datasets to identify trends, patterns, and opportunities to improve customer support and operations.
• Build predictive models to forecast behavior and optimize processes.
• Partner with cross-functional teams to integrate insights into business decisions.
Requirements
• Master’s in Computer Science, Statistics, Mathematics, or related field.
• 5+ years in data analytics, BI, or data science.
• Strong skills in SQL, Python, or R; experience with ML concepts and visualization tools (Tableau, Power BI).
• Background in customer experience analytics or operations.
• Excellent communication and presentation skills.
Preferred
• Certification in Data Science or related field.
• Familiarity with NLP, Salesforce, Agile, and Git.
Data Analytics Engineer
Responsibilities
• Develop and maintain data models, reports, and dashboards to track customer journey insights.
• Analyze large datasets to identify trends, patterns, and opportunities to improve customer support and operations.
• Build predictive models to forecast behavior and optimize processes.
• Partner with cross-functional teams to integrate insights into business decisions.
Requirements
• Master’s in Computer Science, Statistics, Mathematics, or related field.
• 5+ years in data analytics, BI, or data science.
• Strong skills in SQL, Python, or R; experience with ML concepts and visualization tools (Tableau, Power BI).
• Background in customer experience analytics or operations.
• Excellent communication and presentation skills.
Preferred
• Certification in Data Science or related field.
• Familiarity with NLP, Salesforce, Agile, and Git.
