Top Remote Analytics Jobs in Omaha, NE

The Staff Analyst will design analytical frameworks, lead business case development, and provide insights across departments while mastering insurance analytics.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

The Senior Manager, Risk Analytics will build and own Upstart's risk analytics program, managing Key Risk Indicators, data models, and reporting infrastructure for enterprise-wide risk monitoring and compliance. They will collaborate with risk owners and conduct data aggregation and reporting, supporting risk assessments and regulatory requirements.

The Director of Data & AI Alliances will develop strategic partnerships, drive joint go-to-market strategies, manage partner relationships, and lead initiatives that enhance revenue growth and partner engagement in data and AI ecosystems.

Lead a small analytics team to design and execute complex analyses on claims, encounter, provider, and membership data to drive risk adjustment performance. Build scalable reporting and dashboards, ensure data governance and compliance with CMS/Medicaid, translate findings into actionable strategies, and partner with finance, actuary, and analytics teams.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

Design, develop, and maintain Python-based analytics and reporting solutions using healthcare data. Build self-service Plotly Dash applications, refactor legacy code, implement cloud-native and CI/CD practices, optimize SQL/data warehouse queries, mentor peers, and monitor production analytics to support business decisions.

Lead analytics for Medicare Advantage value-based contracts, providing medical cost and outcomes research, financial modeling, performance monitoring, and strategic recommendations. Manage complex provider relationships, ensure contract compliance, drive provider performance, advise on negotiations and deal terms, and integrate reporting to meet financial, clinical, and efficiency targets.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

The OPBAC coordinates benchmarking performance measurement, managing data submissions, supporting department managers, and liaising with vendors in the healthcare sector.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

Lead the design and implementation of analytics solutions, manage Adobe Analytics migrations, ensure data governance, and deliver cross-channel insights for customer journey optimization.

The CJA Business Analyst translates business analytics requirements into actionable tasks within Adobe Customer Journey Analytics, ensuring accurate reporting and effective migration from Adobe Analytics. Responsibilities include requirement gathering, validation, documentation, and collaboration with stakeholders.

The Senior Manager, Data Strategy & Analytics will lead analytics across teams, translating data into actionable insights, building dashboards, and ensuring data quality.

The role focuses on providing analytics services to game studios, including A/B testing, revenue analysis, and data contextualization for decision-making.

The Director, Ecommerce and Marketing Analytics leads analytics across multiple business functions, transforms data into insights, governs AI workflows, and establishes analytical standards to drive decisions and actions throughout the organization.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Lead capacity planning and commercial analytics: build and maintain capacity reporting, dashboards, and NetSuite inventory processes; enforce data governance and KPIs; partner with Sales, Finance, and Operations to enable data-driven commercial decisions and scalable growth.

Manage client data and analytics projects to design and implement data strategies, automation, visualizations, and predictive analytics. Translate data into actionable insights, lead cross-functional stakeholder engagement, scope and monitor budgets, and develop internal tools and templates. Apply finance/CPA knowledge where relevant and deliver client-facing presentations.

Manage client-facing data and analytics projects: define data strategy, build automation and ETL, develop visualizations and predictive analytics, drive transformation, manage scope/budget, and communicate findings to non-technical stakeholders while leveraging finance knowledge.

Lead creation and growth of an analytics function for mobile/web apps. Own the data platform, design analytics frameworks and metrics, deliver dashboards and strategic insights, ensure data governance, and build a high-performing analytics team that supports product, marketing, monetization, payments, finance, and customer support.

Lead enterprise analytics for customer activation, CRM, loyalty, and lifecycle measurement. Own segmentation, propensity modeling, experimentation, identity strategy, reporting, and Adobe platform adoption. Manage leaders and teams, drive data-driven personalization and test-and-learn culture, and deliver executive insights that inform acquisition, engagement, retention, and long-term customer value.

Lead lifecycle marketing analytics for co-brand and enterprise portfolios: identify growth opportunities, build dashboards and models, advise partners, automate scalable analytics, and promote data-driven decisioning to improve campaign ROI and customer experience.