Top Data & Analytics Jobs in Dallas, TX
As a Senior Product Analyst, you will develop and deliver key analyses on product features, design and analyze experiments, and create dashboards to communicate insights. You will collaborate with product, engineering, and operations teams to identify data-driven solutions to business problems.
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions, define strategic roadmaps for clients, conduct technical interviews for Architect and Engineer candidates, and develop data standards and procedures.
As a Staff Data Scientist at tvScientific, you will lead the Measurement practice, developing data science tools for Connected TV ad campaigns and optimizing their effectiveness. You will collaborate with engineers and communicate findings to clients, utilizing strong statistical and machine learning skills, while writing production-level Python code.
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The Senior Data Analyst, Experimentation & Growth will drive data-driven growth through experimentation and analysis focused on improving Ollie's site funnel and marketing performance. Responsibilities include designing tests, monitoring site performance, and establishing analytical best practices while collaborating with cross-functional teams.
The Sr. EDI Analyst will analyze and redesign business IT processes, focusing on EDI implementations within the healthcare sector. Responsibilities include developing technical specifications, refining mapping documents, collaborating with developers for testing, and ensuring high-quality product delivery within an Agile environment.
The Analyst 2, Data & Telecommunications is responsible for monitoring and optimizing the company's voice and data networks. This role involves evaluating and installing network systems, troubleshooting technical issues, and collaborating with vendors on compliance and security. The analyst will also manage system performance and assist in developing system requirements for telecommunications.
The System Analyst will enhance the efficiency of EIA software applications and systems by developing and automating processes, managing business applications, troubleshooting issues, and providing technical support. Responsibilities include deploying and configuring new applications, managing license servers, and improving processes based on feedback.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions to support Nike's Advanced Analytics and Business Intelligence initiatives. Responsibilities include leading a team of engineers, collaborating with cross-functional stakeholders, implementing data governance, and optimizing data processing architectures.
The Research Associate will support clinical research projects at Denver Health, conducting data collection, management, and analysis while maintaining participant confidentiality. Responsibilities include screening subjects, conducting literature reviews, and ensuring compliance with regulatory requirements, while also fostering relationships with study participants and project teams.
As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.
Top Companies in Dallas, TX Hiring Data + Analytics Roles
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