Data Consultant
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Consultant with a contract length of "unknown" and a pay rate of "unknown." Key skills include database administration, SQL, ETL processes, and experience in seasonal outdoor consumer industries. A bachelor's degree and relevant certifications are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 27, 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
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Database Systems #Data Management #Data Integration #Database Administration #Data Architecture #Cloud #Storage #Data Privacy #Big Data #Scala #Data Pipeline #Data Governance #Scripting #SQL (Structured Query Language) #Data Extraction #Data Storage #BI (Business Intelligence) #Security #SQL Queries #Data Lake #Compliance #ML (Machine Learning) #Logging #GDPR (General Data Protection Regulation) #Metadata #Microsoft Power BI
Role description
•
•
• No 3rd party candidates will be considered at this time
•
•
• Qualifications:
• Bachelor's degree in a related field or equivalent experience.
• Proven experience in database administration with a focus on BI and data warehousing.
• Proficiency in SQL and various database systems.
• Strong understanding of ETL processes and data warehousing.
• Experience with cloud-based data solutions.
• Knowledge of BI tools and data integration tools.
• Familiarity with AI/Machine Learning concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Experience with seasonal outdoor consumer industries
• Experience with Mfg and Dist requirements
Bonus Points:
• Experience with scripting languages.
• Experience with big data technologies.
• Relevant certifications.
1. Data Governance and Integrity
• The Consultant ensures that the data feeding into Power BI and AI models is accurate, consistent, and well-structured. Without proper data governance, dashboards and models can provide misleading insights.
• The Consultant enforces data standards, metadata management, and access controls—key for compliance and reliability.
1. Optimized Data Architecture
• Big data environments require scalable and well-structured data storage (e.g., data lakes, warehouses, etc.).
• DBAs design, optimize, and maintain this infrastructure, ensuring data pipelines are efficient and performance doesn’t degrade as data volume grows.
1. Performance Tuning for Power BI
Power BI performance depends on the underlying queries and data models.
• Optimize SQL queries and views.
• Create indexed or aggregated tables for faster reporting.
• Ensure data refresh schedules don't impact production environments.
1. Data Preparation for AI Models
AI requires clean, well-labeled, and relevant data.
• Preprocess and structure data.
• Ensure historical data is accessible and trustworthy.
• Manage large-scale data extractions for training AI models.
1. Security and Compliance
In environments involving AI and analytics, data privacy is critical (GDPR, CCPA, etc.). DBAs enforce:
• Role-based access controls.
• Data masking/encryption for sensitive fields.
• Audit trails and logging.
•
•
• No 3rd party candidates will be considered at this time
•
•
• Qualifications:
• Bachelor's degree in a related field or equivalent experience.
• Proven experience in database administration with a focus on BI and data warehousing.
• Proficiency in SQL and various database systems.
• Strong understanding of ETL processes and data warehousing.
• Experience with cloud-based data solutions.
• Knowledge of BI tools and data integration tools.
• Familiarity with AI/Machine Learning concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.
• Experience with seasonal outdoor consumer industries
• Experience with Mfg and Dist requirements
Bonus Points:
• Experience with scripting languages.
• Experience with big data technologies.
• Relevant certifications.
1. Data Governance and Integrity
• The Consultant ensures that the data feeding into Power BI and AI models is accurate, consistent, and well-structured. Without proper data governance, dashboards and models can provide misleading insights.
• The Consultant enforces data standards, metadata management, and access controls—key for compliance and reliability.
1. Optimized Data Architecture
• Big data environments require scalable and well-structured data storage (e.g., data lakes, warehouses, etc.).
• DBAs design, optimize, and maintain this infrastructure, ensuring data pipelines are efficient and performance doesn’t degrade as data volume grows.
1. Performance Tuning for Power BI
Power BI performance depends on the underlying queries and data models.
• Optimize SQL queries and views.
• Create indexed or aggregated tables for faster reporting.
• Ensure data refresh schedules don't impact production environments.
1. Data Preparation for AI Models
AI requires clean, well-labeled, and relevant data.
• Preprocess and structure data.
• Ensure historical data is accessible and trustworthy.
• Manage large-scale data extractions for training AI models.
1. Security and Compliance
In environments involving AI and analytics, data privacy is critical (GDPR, CCPA, etc.). DBAs enforce:
• Role-based access controls.
• Data masking/encryption for sensitive fields.
• Audit trails and logging.
