Top Remote Senior Level Data & Analytics Jobs in Las Vegas, NV

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.

The Behavior Analyst (BCBA) will direct client programs, supervise Behavior Therapists, develop individualized treatment plans, conduct assessments, and ensure effective communication with families and staff. Also responsible for mentoring staff and maintaining performance metrics.

Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.

The Senior Procurement Analyst will be responsible for handling the procurement process, managing vendor relationships, leading negotiations, and ensuring timely and cost-effective delivery of goods and services. Responsibilities include developing sourcing strategies, managing contracts, generating purchase orders, tracking orders and payments, coordinating with legal and finance teams, and providing procurement data analysis.

The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.

The Senior Analyst II will quantify and communicate Included Health’s value to clients, focusing on data analysis and generating insights. Responsibilities include developing scalable reporting packages, automating reports and dashboards, and collaborating with cross-functional teams to optimize business strategy and client retention. This role utilizes SQL, Python, and various tools for data visualization and communication.