Top Remote Senior Level Analytics Jobs in Birmingham, AL

As the Senior UX and Analytics Lead, you will enhance user experience for Risk Ripple Analytics by producing design deliverables, analyzing engagement metrics, and optimizing user satisfaction. You'll leverage data insights to improve design strategies and collaborate with stakeholders to align business and user needs, driving product adoption and engagement.

As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

The Microsoft Solutions Architect is responsible for client-facing pre-sales consultancy, developing technical proposals for Data & Analytics solutions that match client requirements, and ensuring successful delivery while maximizing profit for CDW. This role includes creating design documents, engaging in account prioritization strategies, and building strong relationships with partners and clients.

The Staff Security Analyst will lead incident response, analyze complex cybersecurity threats, and mentor junior analysts. Key responsibilities include developing detection solutions, overseeing security challenges coordination among multiple teams, and maintaining incident response playbooks.

As a Cloud Data & Analytics Manager, you will assist clients in developing data strategies aligned with their business goals, manage cloud data architecture implementations, and coach team members. Your role involves analyzing complex ideas, leveraging data insights, and improving analytics solutions to enhance decision-making and drive business outcomes.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.