Top Data & Analytics Jobs in Memphis, TN

As a Quantitative Analyst, you will support credit strategy development, perform data analysis, and collaborate with teams to monitor credit risk metrics and automate processes.

The Salesforce Data Cloud Solution Architect will lead the design of customer data strategies, ensure the alignment of business goals with data solutions, oversee data architectures on Salesforce Data Cloud, and collaborate with various teams to deliver integrated solutions.

Lead Workday HCM implementations, manage configurations, and build client relationships. Drive process improvements, support team growth, and ensure project success while advising on best practices.

The Semantic Data Modeler will develop semantic models, integrate NLP workflows, ensure data quality for knowledge graphs, and collaborate across teams.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

The Contract Research Analyst researches high-potential cryptocurrencies and decentralized applications, providing investment insights and educational content for long-term investors.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Sr. Data Engineer will build and optimize data pipelines, support data strategies, and leverage AI tools, with a focus on software engineering best practices.

The Revenue Operations Analyst supports Go-To-Market strategy via reporting and dashboarding, collaborating with leadership and teams to optimize revenue operations.