Swoon
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 6+ years of SQL experience, focusing on SQL Server, Azure Data Factory, and Power BI. Contract length is "unknown," with a pay rate of "unknown," and requires a BS/MS in a quantitative field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Omaha, NE
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🧠 - Skills detailed
#Automation #Database Performance #Microsoft SQL Server #Teradata #Python #BI (Business Intelligence) #Microsoft SQL #Spark (Apache Spark) #MySQL #Oracle #Mathematics #MS SQL (Microsoft SQL Server) #Data Integration #Scripting #Indexing #Airflow #Apache Airflow #Azure Data Factory #Data Science #Datasets #Data Lake #SQL (Structured Query Language) #Scala #R #Big Data #SQL Server #Power Automate #Microsoft Power BI #ADF (Azure Data Factory) #Azure #Data Pipeline #Hadoop #"ETL (Extract #Transform #Load)" #Security #Statistics #Data Analysis #Computer Science
Role description
Job Overview:
Our leading tech client is looking for a Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations. This role focuses on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions.
Key Responsibilities:
• Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.
• Optimize queries and ensure database performance, integrity, and security.
• Build and maintain Power BI dashboards and reports to support evolving business needs.
• Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.
• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
Basic Qualifications:
• BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
• 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (TSQL) including stored procedures, views, functions, indexing, and query optimization.
• 2+ years of experience with data integration platforms, with a preference for Azure Data Factory (pipelines, datasets, data flows).
• 2+ years of experience building and maintaining Power BI dashboards/reports.
• 2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs.
• Strong analytical/problem solving skills and the ability to communicate insights clearly to both technical and non technical audiences.
Preferred Qualifications:
• Exposure to Power Automate for workflow automation.
• Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.
• Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).
• Knowledge of workforce planning, scenario analysis, and optimization techniques.
• Strong communication skills to present findings to both technical and non technical audiences.
Job Overview:
Our leading tech client is looking for a Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations. This role focuses on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions.
Key Responsibilities:
• Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.
• Optimize queries and ensure database performance, integrity, and security.
• Build and maintain Power BI dashboards and reports to support evolving business needs.
• Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.
• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
Basic Qualifications:
• BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
• 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (TSQL) including stored procedures, views, functions, indexing, and query optimization.
• 2+ years of experience with data integration platforms, with a preference for Azure Data Factory (pipelines, datasets, data flows).
• 2+ years of experience building and maintaining Power BI dashboards/reports.
• 2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs.
• Strong analytical/problem solving skills and the ability to communicate insights clearly to both technical and non technical audiences.
Preferred Qualifications:
• Exposure to Power Automate for workflow automation.
• Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.
• Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).
• Knowledge of workforce planning, scenario analysis, and optimization techniques.
• Strong communication skills to present findings to both technical and non technical audiences.
