Data Analyst - Full-time

Data Analyst 16558

• Hourly pay: $45-$55/hr
• Worksite: Leading professional networking and job search platform (Omaha, NE 68010 - Hybrid, Must be onsite on Tuesdays/Wednesdays/ Thursdays)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 12 Month Assignment

The world’s largest professional network is looking for a Data Analyst with deep expertise in SQL Server. The successful candidate will design, build, and maintain robust data solutions that support critical business operations by developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory.

Data Analyst 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.
• Monitor and troubleshoot data processes, ensuring reliability and accuracy across systems.

Data Analyst Qualifications:

• 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.
• 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).
• 2+ years of experience building and maintaining Power BI dashboards/reports (data modeling, DAX/Power Query, refresh strategies, governance).
• 2+ years of experience working in or supporting operations‑based workforce teams, with strong understanding of operational processes and data needs.
• BS/MS in a quantitative field (Statistics, Data Science, Mathematics, Economics, Computer Science, or related), or equivalent practical experience.
• Experience using Git for version control, including common workflows such as branching, committing, pushing, and submitting pull requests for code review and merge.
• Strong analytical/problem‑solving skills and the ability to communicate insights clearly to both technical and non‑technical audiences.
• Exposure to Power Automate for workflow automation is preferred.
• Familiarity with data lake platforms (e.g., Hadoop) and orchestration tools like Apache Airflow is preferred.
• Experience with big data technologies (e.g., Spark) and scripting languages (Python, R) is preferred.
• Knowledge of workforce planning, scenario analysis, and optimization techniques is preferred.