Top Remote Data & Analytics Jobs in Omaha, NE

Support randomized control trials and A/B tests for Party at the Polls: maintain experimental data tables, prepare samples, analyze results (pre/post-election), prioritize sites, and produce reports and timely program performance analysis.

Manage voter contact platforms and related datasets for Party At The Polls. Support peer-to-peer texting, event signup platforms, and CRM operations; build workflows and reporting; collaborate with Communications; maintain forms and data for mail/phone outreach; assist partner-facing platform management and program impact reporting.

Analyze operational performance for Tax operations by conducting deep-dive investigations, identifying root causes, building dashboards and self-serve reporting, applying statistical methods to evaluate experiments, and communicating actionable insights to operations and leadership to improve measurement and scalability.

Owner of cross-functional analytics projects: build and maintain dbt models, write advanced BigQuery SQL, create BI dashboards (Omni/Power BI), monitor data quality, define metrics, enable stakeholder decisions, and use AI tools to accelerate analysis and QA.

Support maintenance of proprietary datasets, supervise daily research operations, implement workflows, communicate priorities, mentor team members, and collaborate to improve quality and efficiency metrics for residential new-home research.

Lead growth analytics by partnering with product, marketing, sales, and finance to identify opportunities, design and analyze experiments, build dashboards, and surface actionable insights to move key metrics and OKRs.

Lead and conduct qualitative and quantitative research and program evaluation for legal education initiatives; manage data collection, cleaning, and analysis; produce reports, tables, and visualizations; advise colleagues and stakeholders on research design and interpretation; support LexScholars program administration and maintain research repositories; present findings and assist with research tool development.

Lead thought leadership by turning advanced analytics, internal data, and market intelligence into data-backed narratives, reports, and sales enablement. Use Python and SQL to analyze datasets, validate hypotheses, and surface industry insights on credit lifecycle, fraud, and regulatory trends. Collaborate with Data Science, Product, Sales, and Marketing, support strategic deals with analytical proof points, and present insights externally to senior audiences.

Lead statistical programming for clinical trials, managing programmers and CROs. Oversee programming activities, ensuring timely support for clinical projects and developing programming processes.

Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.