Career Center

Need – Senior Data Analyst

Location – Omaha, NE – On Site

Duration – 12+ Months Contract – Further Extension

We Are Looking for A Senior Data Analyst to Lead Reporting and Analytics Efforts Across Operations.

This Role Will Focus on Building Scalable, Accurate Reporting, Identifying Insights from Operational Data, And Enabling Data-Driven Decisions Across Business and Technology Teams.

Key Responsibilities

• 6+ Years to 12+ Years of Experience in Data Analytics / Reporting Roles
• Design And Build End-To-End Reporting Solutions (Dashboards, Recurring Reports, Ad-Hoc Analysis) Aligned To Business Needs Partner With Stakeholders (Ops, Dqas, Opcc, Tech) To Define Reporting Requirements And Kpis Develop And Maintain Data Models And Pipelines To Support Reliable Reporting Analyze Large Datasets To Identify Trends, Anomalies, And Operational Improvements Own Data Quality Validation And Ensure Accuracy Across Reporting Outputs Translate Complex Data Into Clear, Actionable Insights For Leadership Drive Standardization And Automation Of Reporting Processes To Reduce Manual Effort Support Incident Analysis By Providing Data-Backed Root Cause Insights Collaborate With Engineering Teams On Data Sourcing, Transformations, And Performance Optimization.
• Required Technical Skills Strong SQL Skills (Complex Joins, Performance Tuning, Data Validation)
• Experience with Data Visualization Tools (Power BI, Tableau, or Similar).
• Proficiency In Data Wrangling and Analysis (Python / R Preferred)
• Experience Working with Large Datasets and Data Warehouses (Snowflake, Azure, Hadoop, Etc.)
• Understanding Of ETL/Elt Pipelines and Data Modeling Concepts Strong Excel Skills for Ad-Hoc and Validation Work Experience with Data Quality Frameworks and Validation Techniques.
• Preferred Skills Experience with Operational / Real-Time Reporting Environments
• Familiarity With Railroad, Logistics, Or Transportation.
• Data Exposure to Azure Data Stack (Adf, Synapse, Databricks)
• Understanding Of Event-Driven Systems and Streaming Data Soft Skills Strong Stakeholder Communication
• Ability To Translate Data into Business Impact Ability To Work Across Business and Tech Teams Without Formal Authority Highly Analytical with Strong Problem-Solving Mindset Self-Driven, Able to Operate In Ambiguous and Fast-Paced Environments.
• Proven Experience Building Enterprise-Grade Reporting Solutions
• Qualifications – bachelor’s degree in data science, Computer Science, Statistics, Engineering, Or Related Field