Top Remote Data & Analytics Jobs in Memphis, TN

The CPQ Salesforce Consultant will implement and optimize Salesforce CPQ solutions, analyze client needs, and manage project lifecycles while collaborating with clients and team members.

As Associate Director, you will lead client engagements on data strategy, manage teams, enhance technology stacks, and mentor juniors while promoting data governance and analytics solutions.

The Manager, Billing Analytics partners with Reimbursement Operations to provide high-quality reporting and insights through data analysis and visualization, enhancing decision-making processes.

The Senior Manager, Analytics & Insights will support sales and operational teams through advanced analytics and data-driven insights, focusing on GTM strategies and analytics infrastructure.

Voltus is seeking a Sales Technical Analytics Intern to develop data models, create reporting tools, and maintain data quality for the Sales organization, focusing on data pipelines and analytics.

The Business Analyst will support integration projects, maintain data formats, provide documentation, and ensure compliance with industry standards while collaborating with clients and internal teams.

As a Senior Data Engineer II, you will design and operationalize data pipelines, support AI/ML tasks, and ensure integration of identity management systems for classified environments.

As a Data Annotation Specialist, you will annotate insurance-related documents, develop annotation schemas, maintain SOPs, evaluate data accuracy, and train new annotators.

The Senior Data Engineer leads data platform strategy, owns the Snowflake data lake, drives governance and cross-functional data initiatives, and collaborates across teams to enhance data quality and accessibility.

The Sr. Business Analyst/Product Owner will manage the requirements lifecycle, develop user stories, facilitate requirements gathering, and ensure clarity for development teams to enhance delivery predictability.

The Data Steward will monitor and improve data quality, enhance governance practices, resolve inconsistencies, and support system improvement initiatives across key business systems.