Top Data & Analytics Jobs in Dallas, TX

The Logistics Analyst will manage third-party logistics suppliers, oversee inbound and outbound logistics, collaborate with supply chain staff, coordinate customer orders, and analyze logistics operations for improvements in cost, quality, and delivery.

The Digital Tech Support Analyst monitors digital product performance, resolves customer issues, and conducts statistical analyses. Responsibilities include documenting significant problems, conducting serviceability audits, maintaining a knowledge base, and providing expert technical assistance during dealer visits. The role requires collaboration with development teams and participating in safety audits.

As a Business Systems Analyst, you will analyze user stories, provide system enhancements, create documentation, and execute tests to solve system issues. You'll work in an agile environment to support system implementation and collaborate with team members on technical challenges.

In this role, you will empower the Chewy Customer Care teams with data solutions, engaging in the entire data science lifecycle from data preparation to model deployment and analysis communication. You will conduct data analysis, build machine learning models, and collaborate with cross-functional teams to ensure data-driven decisions.

The Manager of Data Analytics will lead a team overseeing analytics and business intelligence initiatives. The role focuses on leveraging data for product enhancements, driving operational efficiencies, and fostering a data-driven culture. Collaboration with cross-functional teams is essential to develop insights that inform strategy and optimize business processes.

As a NetSuite Business Analyst at Crunchyroll, you will support end-users in various operational functions, facilitate communication between teams, document business processes, manage project progress, and leverage your NetSuite expertise to drive improvements and system enhancements.

The Power Market Analyst is responsible for analyzing short and mid-term power markets, developing benchmarks, improving data accuracy, collaborating with teams, and supporting clients.