Top Remote Data & Analytics Jobs in Austin, TX

As a Lead NetSuite Developer, you will maintain and enhance the ERP platform, focusing on development, configuration, integrations, and ensuring data accuracy.

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 Market Researcher leads research initiatives to support competitive positioning, brand strategy, and identify growth opportunities through comprehensive analysis and cross-functional collaboration.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

Manage and optimize the Salesforce environment for Revenue Operations, enhancing Sales, Success, and Marketing workflows through automation and data integrity.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.

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.

The Sr Data Analyst will conduct data analysis for product development, create reports and dashboards, communicate insights to stakeholders, run experiments, and collaborate with teams to evaluate feature usage and performance.