Top Remote Analysis Reporting Jobs in Little Rock, AR

Lead and grow a team building scalable forecasting models and simulators for ads supply, demand, and revenue. Own technical quality, cross-functional partnerships, roadmap, and strategy to drive ad marketplace and product decisions.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The Data Operations Lead oversees the data operations lifecycle, ensuring data quality and reliability, managing teams, and communicating operational status to leadership.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

The EDI Growth Specialist at Alvys focuses on creating and maintaining EDI data mappings, translating various data formats, collaborating with team members, and validating mappings for EDI integrations.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

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

The Senior Director, Epidemiology leads epidemiology strategies and activities for Revolution Medicines, including developing plans, overseeing deliverables, and collaborating on clinical development and safety aspects.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

This role involves leading Reltio-based Master Data Management (MDM) implementations, defining architecture, establishing governance, and collaborating with teams to create solutions across multiple domains.