Top Remote Data & Analytics Jobs in Austin, TX

The Fraud Analyst monitors financial activities and investigates suspicious transactions. They analyze large data volumes to identify fraud patterns, conduct thorough investigations, review transaction alerts, and develop prevention strategies to mitigate risks, ensuring compliance with regulations.

As a Data Verification Specialist, you will maintain and enhance the product database by examining and verifying data accuracy, correcting errors, making outreach calls to confirm business information, and following established data entry guidelines. The role requires strong investigative skills and a commitment to data accuracy and confidentiality.

The Threat Analyst will analyze malware and detection tickets, ensuring product detections meet company standards, managing false positives, and addressing internal inquiries regarding threat detections. The role requires knowledge of malware, programming languages, and analytical skills to enhance detection capabilities.

As a Staff Analyst in Growth Analytics, you will analyze user behavior, funnel performance, and the effectiveness of growth strategies at Upstart. You will collaborate across teams to develop analytical frameworks and experiments, mentor junior analysts, and enhance growth data capabilities.

The GIS Analyst is responsible for maintaining and managing GIS datasets, publishing ESRI services, engaging with customers for data requirements, and creating custom GIS scripts and tools. They will ensure data integrity, improve processes, and support product implementation while collaborating with various teams across the organization.

The Flight Systems API Analyst at ForeFlight will analyze flight plan errors, develop AI/ML tools, enhance operational workflows through API integration, and create customer resources. The role necessitates collaboration with product managers and developers to improve systems and support customers in flight operations.

As a Senior Data Engineer at Atlassian, you will build and maintain a data lake and big data services, collaborating with stakeholders to enhance data ingestion and pipeline efficiency. You will architect micro-services and enable self-service capabilities, focusing on solving complex problems in a fast-paced environment.