Data Analyst

Job Overview

Job Title:
Data Analyst
Duration: 12 Months
Location:
Omaha, NE (Tues/Wed/Thurs Onsite)

• 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.
• Partner with cross-functional teams on strategic projects and operational initiatives.

• 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 (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.
• 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.
• 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.

• Accuracy and efficiency of SQL-based solutions and data pipelines.
• Adoption and impact of Power BI reports dashboards across business units.
• Operational improvements driven by automation and data-driven insights.