Top Remote Analysis Reporting Jobs in Dallas, TX

The Analyst II will conduct payments pricing analyses, manage communications with customers, support the sales team, and enhance operational processes in payments.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

As a Jr Marketing Data Scientist, you'll support marketing analytics, develop predictive models, apply statistical methods, and automate insights using Python and machine learning techniques.

The Data Product Manager will manage data life cycle for payer and partner data, ensuring data quality and supporting customer success through effective communication and problem-solving. Responsibilities include handling data requests, attribution management, and data enrichment for healthcare projects.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

The Lead Exchange Optimization Analyst analyzes exchange data to identify optimization opportunities, designs experiments, and collaborates with cross-functional teams to enhance programmatic advertising efficiency.

The Staff Accountant will manage SEC financial reporting, compliance, and technical accounting, ensuring accuracy and integrity in reporting practices and collaborating with teams to uphold financial standards.

The Analyst II, Full Stack will analyze complex data to optimize credit offerings, leverage machine learning, and collaborate with teams to enhance financial strategies. Requires a PhD and 1 year experience in relevant fields.

The Senior Data Analyst will lead analytics projects, translate complex data into actionable insights, and support cross-functional teams in improving business outcomes, focusing on lifecycle marketing.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.