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Data Analyst
for Long term project in
Omaha, NE (Onsite)
Below is the detail requirement.
Job Title: Data Analyst
Location: Omaha, NE (Onsite)
Job Description:
Senior Data Analyst responsible for leading reporting and analytics initiatives across operations, with a focus on scalable reporting, operational insights, and data-driven decision-making. Design and build end-to-end reporting solutions, including dashboards, recurring reports, and ad-hoc analysis aligned with business requirements. Partner with cross-functional stakeholders (Operations, DQAS, OPCC, Technology teams) to define reporting requirements, KPIs, and success metrics. Develop, maintain, and optimize data models and data pipelines to support accurate and reliable reporting solutions. Analyze large and complex datasets to identify trends, anomalies, performance gaps, and opportunities for operational improvement. Own data quality validation processes and ensure the accuracy, consistency, and integrity of reporting outputs. Translate complex datasets and analytical findings into clear, actionable insights for business and leadership teams. Drive reporting standardization and automation initiatives to improve efficiency and reduce manual effort. Support incident and operational analysis through data-driven root cause investigations and reporting. Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization, and performance improvements. Required Technical Skills
Strong SQL expertise, including complex joins, query optimization, performance tuning, and data validation. Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms. Proficiency in data analysis, data wrangling, and automation using Python and/or R. Experience working with large-scale datasets, data warehouses, and cloud data platforms such as Snowflake, Azure, and Hadoop. Strong understanding of ETL/ELT processes, data integration, and data modeling concepts. Advanced Microsoft Excel skills for reporting, validation, and ad-hoc analysis. Experience implementing and maintaining data quality frameworks and validation methodologies. Preferred Skills
Experience supporting operational and real-time reporting environments. Familiarity with railroad, logistics, transportation, or similar operational datasets. Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks. Understanding of event-driven architectures, streaming data, and real-time analytics. Soft Skills
Strong stakeholder communication skills with the ability to translate technical findings into business value and impact. Ability to work effectively across business and technology teams without direct authority. Strong analytical, problem-solving, and critical-thinking capabilities. Self-motivated and capable of operating in fast-paced, ambiguous, and evolving environments. Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. 5+ years of experience in Data Analytics, Business Intelligence, Reporting, or related analytical roles. Proven experience designing and delivering enterprise-scale reporting and analytics solutions.
Compétences linguistiques
- English
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