Top Remote Data & Analytics Jobs in Omaha, NE

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

As a Revenue Integrity Analyst II, you will audit charges, analyze billing data, ensure compliance, and collaborate with cross-functional teams to improve revenue integrity.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

Design and execute HEOR studies (cost-effectiveness, budget impact, real-world evidence) using large claims datasets; collaborate cross-functionally; engage stakeholders; produce scientific deliverables (abstracts, posters, manuscripts); and communicate HEOR insights to support adoption, access, and reimbursement for genetic testing services.

Drive go-to-market revenue analytics and strategy by building forecasts, dashboards, and ad-hoc analyses. Partner with Sales, Sales Ops, and Finance to set targets, quota, and deliver actionable recommendations to executive leadership.

Lead data strategy initiatives for clients, enhancing technology stacks and implementing data solutions using cloud platforms while mentoring teams and driving business development.

The HMMS Data Input & Retrieval Specialist III is responsible for managing SDS requests, ensuring data integrity, and customer support in the HMMS program, alongside maintaining compliance with regulations and auditing chemical information.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Support product, finance, and operations stakeholders by writing SQL, building dashboards, analyzing A/B tests, automating reporting, and producing data-driven recommendations to improve revenue, retention, and platform health.

Lead and manage architecture and engineering for enterprise data platforms across ingestion, storage, processing, analytics, and consumption. Translate business requirements into technical designs, enforce governance/security, oversee data pipelines, and coach teams to ensure scalable, reliable, and cost-efficient data solutions.