Top Data & Analytics Jobs in Austin, TX

The Senior Information Security Analyst will manage day-to-day security operations and incident investigations, design Iodine's Information Security program, and respond to security threats. Responsibilities include operating security tools, executing Cyber Security Tabletop exercises, managing Red Team exercises, and ensuring compliance during security audits.

The Program Research Associate, or Curator, will verify and maintain program data, research and add new organizations to the network, respond to requests in the ticket management system, and contribute to a positive team culture. This role emphasizes accuracy, data-driven decision making, and strong communication skills.

As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, focusing on forecasting models. You will collaborate with various teams to build scalable and reliable models, handle business problem quantification, and engage in model evaluation.

The Business Analyst will collaborate with clients to gather and document requirements, facilitate project workflows, and communicate effectively across various teams. Responsibilities include creating use cases, mentoring teammates, and ensuring adherence to security policies while delivering custom solutions in an Agile environment.

As a Global Intelligence Analyst, you will monitor and relay critical information about potential threats globally, ensuring customers are informed during emergencies. This role requires strong analytical skills, effective communication, and the ability to make quick decisions under pressure.

As a Business Analyst at Zogo, you will drive lead generation for enterprise accounts, source new partnerships, understand customer needs, support the sales pipeline, assist in organizational tasks, and manage sales activities in the CRM.

As a Data Engineer at Snap Inc, you will develop and maintain data pipelines, ensuring timely access to high-quality datasets for stakeholders. You will communicate complex processes to non-technical users, support governance principles, and drive data set adoption while managing on-call responsibilities.