Top Remote Data & Analytics Jobs in Memphis, TN

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

As a Senior Statistical Programmer, you will lead SAS programming efforts, develop specifications for data models, and produce analytical reports for clinical trials while ensuring compliance with industry standards.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

As a Sr Workday Analyst, you will configure Workday for Payroll and Time Tracking, collaborate with HR, and streamline processes.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

The Staff Analyst will drive insights and strategies for Upstart's Personal Loans product, collaborating with multiple teams on data analysis and product optimization.

The Solutions Associate will support Zeta's Data Cloud team by managing client inquiries, enhancing operational processes, and driving product insights to improve client satisfaction and growth.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.