Top Remote Analytics Jobs in Provo, UT

The Director of Data Engineering will lead the data engineering team, overseeing data architecture, pipeline development, and governance while driving data strategy and project management. The role includes mentoring engineers, collaborating with stakeholders, and implementing best practices for data management.

As the Director of Data & Analytics, you will lead a team to develop and scale data products offering critical insights to merchants. You will set the vision for the data strategy, manage the data roadmap, and collaborate with the Product leadership team to ensure data-driven decisions enhance product development.

As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conducting background interviews and investigations into project teams. Your responsibilities include assessing risk levels, providing exceptional customer service, and documenting your findings to support KYC badge decisions. You will evaluate project teams for quality, create content related to KYC, and work independently in a fast-paced environment.

As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.

As a research scientist at Virdx, you will be responsible for developing the diffusion simulation engine, optimizing MRI protocols, and building the ground truth pipeline to innovate cancer detection methods using machine learning and statistical inference.

The Senior Analyst, Threat Management is responsible for monitoring and analyzing threats, conducting vulnerability assessments, collaborating with teams for security integration, and improving overall security processes. They will also prepare risk analyses, reports, and assist in security training initiatives.

The AI Strategist at Quisitive serves as a bridge between pre-sales assessments and technical solutions for AI projects. Responsibilities include identifying business value of AI use cases, specialized industry knowledge, evaluating project viability, and collaborating with teams to customize AI solutions for clients.