Top Analysis Reporting Jobs in Omaha, NE

Analyze complex datasets, develop Python automation, optimize SQL queries, and use Excel and BI tools to improve operational workflows and data quality. Translate findings into actionable insights, build end-to-end analytics solutions, support EMS platforms, troubleshoot data issues, and collaborate with cross-functional stakeholders to enhance decision-making and operational performance.

Lead migration to a Databricks lakehouse using dbt, design ELT pipelines, improve ingestion reliability, establish data quality and governance, and build analytics- and AI-ready datasets. The role owns platform architecture, access controls, monitoring, documentation, data contracts, and legacy-system retirement. It partners with engineering, data science, AI, analysts, and business stakeholders while mentoring engineers and influencing technical standards.

Supports Research and Development teams by translating business needs into data and digital solutions. Builds dashboards, applications, workflows, data pipelines, and analytical models using Python, SQL, Palantir, Databricks, and Power BI. Cleans, combines, validates, and models product and manufacturing data, automates processes, tests solutions, troubleshoots issues, and supports implementation and user adoption while partnering with food scientists and product developers.

Manages enterprise data governance policies, standards, KPIs, maturity assessments, data quality processes, stewardship programs, information maps, business glossaries, metadata, and data assets. Administers and expands the Collibra data governance environment, collaborates with data owners and stewards, trains stakeholders, and reports initiative progress to governance councils and management.

The Data Analytics Intern will support analytics, reporting, process improvement, and strategic insight initiatives. Responsibilities include extracting, transforming, and interpreting datasets; learning enterprise data warehouse and BI architecture; collaborating in an Agile environment; and presenting internship project outcomes. The role also includes leadership exposure, mentorship, teamwork, and a capstone presentation.

Leads business analysis activities across project lifecycles, including stakeholder communication, requirements validation, application testing, defect resolution, reporting, data analysis, and process improvement. The role partners with developers and cross-functional teams to improve application development practices, troubleshoot issues, and enhance operational quality and efficiency within a financial services environment.

Develop and maintain scalable data platforms, ETL pipelines, data models, ingestion processes, and data integration solutions supporting Air Force ISR and national security missions. The role involves architecting data systems, working with big data technologies, analyzing data, improving DataOps capabilities, and collaborating with technical and non-technical stakeholders. An active TS/SCI clearance and willingness to undergo a polygraph are required.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

Leads Pacific Life’s Operations Data Analytics function, setting strategy, governance, roadmaps, standards, and resource plans. Oversees reporting, dashboards, KPI standardization, data modeling, forecasting, predictive analytics, and executive insights. Partners with Operations Transformation, Technology, Finance, Risk, and business leaders to improve efficiency, customer experience, quality, and financial performance. Manages senior analytics professionals, capacity planning, prioritization, budgets, stakeholder adoption, data quality, and continuous improvement.

Participates in a 12-week internship analyzing and interpreting large datasets, cleaning and profiling data, identifying anomalies and trends, validating reports, improving processes, and supporting development of reporting, modeling, and analysis tools. Collaborates with Operations, Compliance, Marketing, and Finance teams on enterprise initiatives while exploring technologies and frameworks that improve efficiency.