Top Remote Data & Analytics Jobs in Omaha, NE

Lead and build the analytics function for a fast-scaling mobile/web product company: design analytics frameworks, own the data platform, deliver reporting and dashboards, provide strategic insights to executives, ensure data governance and compliance, and recruit and manage an analytics team to support marketing, monetization, product, finance and support.

Lead digital measurement analytics for Health & Wellness trains, define digital data strategy, collect and validate data, deliver reporting and insights, partner with stakeholders, manage projects in Agile, and mentor team members while driving analytics roadmap and scalable solutions.

Lead operational reliability and compliance for enterprise data platforms (DWH, EDL, Cloud). Monitor, triage, and resolve ETL/job failures; ensure SOX audit readiness; manage incidents/changes via ServiceNow; maintain runbooks, SOPs, and CMDB; drive SRE-aligned automation and metrics; liaise with stakeholders and lead continuous improvement for data operations.

The Senior Analyst executes customer decisioning strategies, monitors performance, prepares reports, collaborates with strategy leads, and evaluates strategy impact through data analysis.

Lead design and scaling of enterprise data architecture and pipelines. Build and maintain ETL/ELT and CDC/streaming workflows, improve data quality and observability, own schema and warehouse modeling, implement governance (RBAC), and provide cross-functional technical leadership to enable trusted, scalable data for analytics and product teams.

Client-facing Analytics Manager who architects large-scale digital analytics (GA4/Adobe), audits implementations, builds measurement frameworks, and leads GEO (Generative Engine Optimization) test & learn programs. Uses AI tools (Claude) to automate workflows, mentor teammates, manage projects, and translate data into strategic client recommendations.

Support data-driven operations by sourcing, integrating, validating, and transforming data; build and maintain dashboards, agency scorecards, and reports; analyze KPIs to identify improvement and cross-sell opportunities; measure campaign effectiveness; ensure data quality; partner with stakeholders and technology teams; support monthly reviews and ad-hoc analytics requests.

Design, build, and maintain scalable ETL/ELT pipelines and data models to populate the data warehouse. Write reusable SQL and Python to transform data, monitor pipeline reliability and quality, enable AI workflows, collaborate with stakeholders, and drive adoption of modern data stack technologies (DBT, Iceberg, Databricks). Support data governance, observability, and security practices.

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.

Support maintenance and quality of proprietary datasets, oversee daily research operations, implement workflows, communicate manager priorities, mentor team members, and help improve efficiency and quality metrics.