Top Remote Data & Analytics Jobs in Omaha, NE

The Lead Gen Analyst is responsible for optimizing and analyzing lead generation campaigns, improving data quality, and collaborating with internal teams to drive sales growth.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

The Senior Data & Reporting Analyst will design and maintain dashboards and reports using Salesforce and Power BI, analyze data trends, support operational decisions, and ensure data quality for sales performance and strategy.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

As a TMS Compliance QA Analyst IV, you'll audit TMS cases, conduct training, enhance processes, and present compliance metrics to support the AML/CFT program.

The Staff Analytics Engineer will bridge data engineering, data science, and business analytics, building data solutions, enabling data-driven decisions, and collaborating with cross-functional teams to optimize business metrics.

Drive IT SOX initiatives, lead assessments, create training, oversee audits, manage stakeholder relationships, and recommend solutions for compliance activities.

The role involves developing customer-facing reports, providing insights, managing analytics for health systems, and collaborating cross-functionally to enhance operational efficiency.

The Sr. Analytics Engineer designs data models for reporting, collaborates across teams, and optimizes cloud-based data warehouses, particularly in healthcare settings.