Senior Data Analyst

Role overview

Key responsibilities

• Design end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analyses.
• Partner with Operations, DQAS, OPCC, and Technology teams to define reporting requirements and KPIs.
• Develop and maintain data models and pipelines for reliable reporting.
• Analyze large datasets to find trends, anomalies, and opportunities for operational improvement.
• Validate data quality and ensure reporting accuracy.
• Translate complex data into actionable leadership insights.
• Standardize and automate reporting processes to reduce manual work.
• Provide data-backed root-cause insights for incident analysis.
• Work with engineering teams on data sourcing, transformations, and performance optimization.

Required skills and qualifications

• Strong SQL, including complex joins, performance tuning, and data validation.
• Experience with visualization tools such as Power BI, Tableau, or similar platforms.
• Proficiency in data wrangling and analysis using Python or R.
• Experience with large datasets and warehouses such as Snowflake, Azure, Hadoop, or similar technologies.
• Understanding of ETL/ELT pipelines and data modeling; strong Excel skills.
• Experience with data quality frameworks and validation techniques.
• 7+ years in data analytics or reporting roles and a bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
• Proven experience building enterprise-grade reporting solutions.

Preferred skills

• Operational or real-time reporting experience is preferred.
• Railroad, logistics, or transportation data familiarity is preferred.
• Exposure to Azure Data Factory, Synapse, and Databricks is preferred.
• Understanding of event-driven systems and streaming data is preferred.

Compensation

• The stated base salary range is $92,250–$125,000 plus incentives tied to individual and company performance.

Workplace

• On-site in Omaha, Nebraska, five days per week.