Top Analytics Jobs in Dallas, TX

The Data Operations Analyst will manage data integration processes, troubleshoot issues, optimize operations, and prepare performance reports, collaborating across departments.

The AI Architect will design and deploy AI systems focusing on machine learning and natural language processing for healthcare, leading teams and ensuring compliance with regulations.

The Data Quality Engineer ensures data accuracy, completeness, and reliability, collaborating across teams to implement data quality standards and processes.

This role involves building and maintaining data transformation mappings, managing data flow processes, and collaborating with teams to enhance data integration and quality.

The role of an Adobe Analytics Engineer involves implementing complex tracking solutions, translating business needs into technical specifications, and improving analytics processes for clients.

The Director of Analytics Enablement oversees analytics data collection and activation, providing technical solutions and consulting to clients while maintaining tracking systems and documentation.

The role involves leading Business Analytics & Intelligence efforts, creating BI solutions, visualizing data with Power BI, optimizing data performance, and collaborating with architects and engineers on data strategy.

Lead fraud and scam detection strategies focusing on digital channels. Manage a team, analyze data, and enhance fraud prevention methods.

Manage portfolio analytics tasks, assist clients with software implementation, support reporting and valuation, and handle various ad hoc projects.

As an Analytics Strategist, you will implement advanced analytics into business processes, support cross-functional teams, perform analyses, visualize data insights, and influence strategic decision-making.

As an Automation Architect, design and implement solutions using Azure and UiPath. Lead automation projects and mentor teams in RPA best practices.

The Principal Data Engineer will design scalable data pipelines on Azure, create data models, and collaborate with teams to build analytics solutions.

The Machine Learning Engineer will design, develop, and deploy scalable ML models using Google Cloud Platform and Vertex AI, ensuring performance optimization and API development.

Responsible for transforming finance functions, engaging with clients, providing solutions to complex business challenges, and building operational efficiencies.

The Azure PaaS Product Manager will develop and launch products, manage budgets, and collaborate with teams to ensure product success.

The Power BI Lead will enhance data analytics through business intelligence, dashboard creation, and stakeholder engagement in the CPG sector.

The Azure Databricks Administrator will provide technical expertise in deploying applications on the Azure Databricks platform, manage memory and performance, supervise cluster health checks, and ensure regular backups and recovery. This role involves supporting the development team and creating technical documentation.

As an Analytics Consultant, you will analyze data, develop insights, and implement solutions for clients in the CPG industry, leveraging technical skills in SQL and Python.

As a Principal Data Engineer, you'll design and build data ingestion pipelines, process data, and collaborate with teams using Azure and Databricks technologies.

The Master Data Management Leader will define and build databases, assist in data governance, and ensure data integrity through standards and guidelines.

The role involves architecture, design, and implementation of data practices on Azure, focusing on effective data management and governance.

The Data Science Growth Leader will drive business development initiatives, design data science strategies, and lead technical teams to deliver AI and ML solutions.

The Product Manager will lead the development of infrastructure products, driving strategies, overseeing lifecycles, and collaborating with cross-functional teams to ensure customer needs are met.

The Senior Data Steward Manager oversees data governance, ensuring quality and compliance, and coordinates across teams for effective data management.

The Principal Consultant leads client engagements in digital and analytics strategies, manages delivery quality, drives business growth, and guides project teams.