Harvey Nash

Data Analyst

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
448
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πŸ—“οΈ - Date
December 11, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Omaha Metropolitan Area
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🧠 - 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 world’s 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.