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

The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.

As a Staff Analyst on the Personal Loans team, you will analyze and optimize the Personal Loans product through data insights and collaboration with cross-functional teams. Responsibilities include setting product strategy, conducting quantitative analyses, developing analytical frameworks, and mentoring fellow analysts.

The VP, Customer Insights and Analytics will lead strategic projects to leverage customer data and insights to enhance marketing effectiveness. Responsibilities include directing the insights team in market research, evolving the operating model, and developing methodologies for quantitative and qualitative research to drive marketing strategies.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

The Analyst & Media Relations Director manages media and analyst relations to enhance Acquia's brand. This role involves building relationships with industry analysts and journalists, coordinating briefings, developing key messaging, tracking industry news, and analyzing the effectiveness of media campaigns.

The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.

Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.