Top Data & Analytics Jobs in Dallas, TX

The Data Analyst at Peloton will develop data models, design datasets, and create self-service data products for stakeholders. They will ensure data quality and communicate findings across teams to drive strategic decisions. They will utilize modern technologies and methodologies to enhance data visibility and insights.

As a NetSuite Business Analyst, you will support end-users with system setups, troubleshoot issues, manage communication between business and tech teams, document processes, and monitor project progress to ensure successful implementations of NetSuite ERP functionalities.

The Senior Analyst, Customer Experience will analyze customer behavior and churn, evaluate product initiatives, and provide insights to senior management using complex datasets. Responsibilities include collaborating with various teams, transforming data into reports, and identifying discrepancies in data.

As a Data Scientist at Capital One, you will work with a cross-functional team to analyze data and build machine learning models. You will leverage technologies like Python and AWS to deliver impactful insights and applications in financial services.

The Cloud FinOps Senior Data Analyst collaborates with teams to analyze cloud spending, develop forecasts, and provide financial insights that drive business decisions. Responsibilities include creating complex management reports, solving data issues, and enhancing reporting through data visualization tools. This role requires effective communication with stakeholders and the ability to lead projects for continuous improvement in cloud cost management.

The Distribution Fulfillment Analyst at Motorola Solutions manages cost, quality, and delivery performance at the North America distribution center, supporting process optimization and coordinating with internal teams and 3PLs. Responsibilities include creating work orders, generating reports with SQL and Tableau, and supporting supply chain operations.

The Data Scientist II will empower the Chewy Customer Care teams through data solutions, focusing on the complete data science lifecycle. Key responsibilities include data preparation, exploratory analysis, feature engineering, machine learning model development, performance evaluation, and effective communication of insights to stakeholders.