Data Analyst

Data Analyst 16295

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

A leading professional networking company seeks a Data Analyst. The successful candidate will robust data solutions that support critical business operations, and focus on developing tables, views, and stored procedures; creating and maintaining Power BI reports; and building pipelines and automations in Azure Data Factory. The company offers a great work environment!

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.
• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.
• 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 a 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.
• Strong communication skills to present findings to both technical and non‑technical audiences are preferred.

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