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Data Analytics / Reporting Analyst
- Omaha, Nebraska, United States
- Omaha, Nebraska, United States
Über
Duration: 12+ Months
Role Summary 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
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 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.
Strong stakeholder communication.
Ability to translate data into business impact.
Ability to work across business and technology teams without formal authority.
Highly analytical with strong problem‑solving mindset.
Self‑driven, able to operate in ambiguous and fast‑paced environments.
Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
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Sprachkenntnisse
- English
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