Top Remote Data & Analytics Jobs in Omaha, NE

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Work with customers, engineers, and architects to gather and translate business needs into detailed requirements, support Agile scrum teams, create test cases, perform data analysis and root-cause investigations, provide production support, and ensure quality delivery and compliance. Mentor junior staff and troubleshoot production issues, often working nonstandard hours.

Design and govern an enterprise cloud data platform and integration pipelines (primarily Snowflake). Define data models, medallion layers, and standards; build ELT/ETL pipelines, CDC/event-driven ingestion, data quality, metadata, and lineage. Partner with business stakeholders, mentor engineers, and provide architectural oversight to support analytics, reporting, and operational use cases.

Design, implement, and test cloud-based ETL/data pipelines and datasets to support analytics and data science workloads. Collaborate with data scientists and analysts, translate business requirements into technical solutions, and follow data engineering best practices.

As a Senior Commercial Insurance Analyst, you'll perform complex analyses on data to drive business performance and risk outcomes. You'll collaborate with various teams, generate actionable insights, and mentor junior analysts, all while fostering a data-driven culture and improving operational efficiency.

Lead migration to a Databricks lakehouse, design and maintain dbt medallion pipelines, improve ingestion and reliability, implement data quality and governance, build curated datasets, mentor engineers, and drive platform standards and documentation.

Leads data and analytics engineering for Zero Trust maturity assessment and implementation measurement. Designs common data models, integrates and validates enterprise data, develops maturity and risk metrics, supports prioritization and gap analysis, and establishes data quality, lineage, traceability, and documentation practices. Partners with dashboard and automation specialists to streamline reporting and data refresh workflows.

Develop and maintain Power BI, Tableau, or comparable dashboards for the VA Zero Trust acceleration effort. Translate validated maturity and implementation data into scorecards, trend views, gap analyses, risk visualizations, and executive reports. Partner with data engineering teams to automate refreshes, ensure consistent metric definitions, validate source data, and document dashboard logic. Support enterprise-level and drill-down analysis across pillars, capabilities, and implementation waves.