

Harvey Nash
Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 6+ years in SQL Server and 2+ years in Azure Data Factory and Power BI, located in Omaha for 12 months. Pay rate is $50-$56.80/hr. Strong analytical skills and operational experience required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
448
-
ποΈ - Date
December 11, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Omaha Metropolitan Area
-
π§ - Skills detailed
#Hadoop #Azure Data Factory #GIT #Scripting #SQL (Structured Query Language) #Data Science #MS SQL (Microsoft SQL Server) #Power Automate #Python #Microsoft SQL Server #Version Control #Azure #Datasets #R #Microsoft Power BI #Computer Science #Apache Airflow #Statistics #SQL Server #Data Analysis #Database Performance #Oracle #Automation #ADF (Azure Data Factory) #Boomi #Indexing #Scala #Security #Big Data #DAX #Spark (Apache Spark) #Data Modeling #Data Pipeline #Microsoft SQL #SSIS (SQL Server Integration Services) #"ETL (Extract #Transform #Load)" #Airflow #Data Lake #MySQL #Teradata #BI (Business Intelligence) #Data Integration #Mathematics
Role description
Harvey Nash USA has been engaged to find a talented Data Analyst for worldβs largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.
Job Title: Data Analyst
Location: Hybrid - Tues/Wed/ Thurs OMAHA
Duration: 12 Months Contract
About the Role:
β’ Our client is looking for a talented Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations.
β’ 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.
β’ The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions.
Key Metrics for Success:
β’ Accuracy and efficiency of SQL based solutions and data pipelines.
β’ Adoption and impact of Power BI reports dashboards across business units.
β’ Operational improvements driven by automation and data driven insights.
Key Responsibilities:
β’ Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.
β’ Optimize queries and ensure database performance, integrity, and security.
β’ Build and maintain Power BI dashboards and reports to support evolving business needs.
β’ Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.
β’ Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
β’ Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems.
β’ Partner with cross functional teams on strategic projects and operational initiatives.
Must Have:
β’ 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (T SQL) including stored procedures, views, functions, indexing, and query optimization.
β’ 2+ years of experience with data integration platforms (Azure Data Factory, SSIS, Boomi, etc.), with a preference for Azure Data Factory (pipelines, datasets, data flows).
β’ 2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance).
β’ 2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs.
β’ Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge.
β’ Strong analytical/problem solving skills and the ability to communicate insights clearly to both technical and non technical audiences.
Nice to have:
β’ Exposure to Power Automate for workflow automation.
β’ Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.
β’ Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).
β’ Knowledge of workforce planning, scenario analysis, and optimization techniques.
β’ Strong communication skills to present findings to both technical and non technical audiences.
Education:
β’ BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $50- $56.80/hr on W2 (Depending on Experience). Benefits will be available, and details are available at the following links:
β’ Benefits Details: https://britehr.app/HarveyNashContractorsNH2025
β’ 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k) retirement plan that includes a 25% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.
About us:
Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry.
Harvey Nash USA has been engaged to find a talented Data Analyst for worldβs largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.
Job Title: Data Analyst
Location: Hybrid - Tues/Wed/ Thurs OMAHA
Duration: 12 Months Contract
About the Role:
β’ Our client is looking for a talented Data Analyst with deep expertise in SQL Server to design, build, and maintain robust data solutions that support critical business operations.
β’ 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.
β’ The ideal candidate will combine strong technical skills with analytical thinking to deliver scalable, data driven solutions.
Key Metrics for Success:
β’ Accuracy and efficiency of SQL based solutions and data pipelines.
β’ Adoption and impact of Power BI reports dashboards across business units.
β’ Operational improvements driven by automation and data driven insights.
Key Responsibilities:
β’ Design, develop, and maintain SQL Server objects including tables, views, stored procedures, and functions.
β’ Optimize queries and ensure database performance, integrity, and security.
β’ Build and maintain Power BI dashboards and reports to support evolving business needs.
β’ Develop and manage data pipelines and workflows in Azure Data Factory for efficient data movement and transformation.
β’ Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
β’ Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems.
β’ Partner with cross functional teams on strategic projects and operational initiatives.
Must Have:
β’ 6+ years of experience with SQL (MS SQL Server, Teradata, Oracle, MySQL), with a preference for Microsoft SQL Server (T SQL) including stored procedures, views, functions, indexing, and query optimization.
β’ 2+ years of experience with data integration platforms (Azure Data Factory, SSIS, Boomi, etc.), with a preference for Azure Data Factory (pipelines, datasets, data flows).
β’ 2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance).
β’ 2+ years of experience working in or supporting operations based workforce teams, with strong understanding of operational processes and data needs.
β’ Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge.
β’ Strong analytical/problem solving skills and the ability to communicate insights clearly to both technical and non technical audiences.
Nice to have:
β’ Exposure to Power Automate for workflow automation.
β’ Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow.
β’ Experience with big data technologies (e.g., Spark) and scripting languages (Python, R).
β’ Knowledge of workforce planning, scenario analysis, and optimization techniques.
β’ Strong communication skills to present findings to both technical and non technical audiences.
Education:
β’ BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
A reasonable, good faith estimate of the minimum and maximum hourly wage for this position is $50- $56.80/hr on W2 (Depending on Experience). Benefits will be available, and details are available at the following links:
β’ Benefits Details: https://britehr.app/HarveyNashContractorsNH2025
β’ 401K Plan: Our employees work hard, which is why Harvey Nash is proud to contribute to their hard-earned savings with a 401(k) retirement plan that includes a 25% company match on all deferrals. We also offer a Roth 401(k) for even more flexibility. Employees 21 years of age or older, and have completed 3 months of service, are eligible to participate.
About us:
Harvey Nash is a national, full-service talent management firm specializing in technology positions. Our company was founded with a mission to serve as the talent partner of choice for the information technology industry.






