Top Business Intelligence Jobs in Dallas, TX

The Senior Data Scientist will build predictive and optimization models to enhance internal business operations and financial health. Responsibilities include developing models for customer revenue prediction, implementing time series forecasting, and collaborating with data engineers to implement ML algorithms. The role requires proficiency in statistics, data structures, and machine learning.

As a Management Analyst, the responsibilities include providing program management support, conducting organizational evaluations, preparing operational procedures, managing data analysis, and maintaining effective communication among teams, ensuring optimal performance for Air Force operations.

The Sales Business Intelligence Analyst will design, develop, and maintain BI solutions to support decision-making. Responsibilities include developing reports and dashboards, collaborating with stakeholders, and improving reporting tools in alignment with business needs.

The Lead Data Analyst will manage a small team while collaborating with Product and Engineering teams to create scalable reporting, analyze A/B tests, and develop revenue dashboards. Responsibilities include providing insights to drive revenue for a network of creators and handling multiple projects with attention to detail.

As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.

The CX Business Analyst will contribute to the design, testing, and delivery of customer experience (CX) solutions, focusing on creating detailed design artifacts and collaborating with clients and cross-functional teams to ensure project deliverables meet business requirements.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.