Top Remote Data & Analytics Jobs in Austin, TX

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

Own forecasting and capacity planning for contact center and pharmacy operations. Build short- and long-term forecasts, translate them into staffing plans, analyze trends and variances, develop dashboards, support scenario modeling, and partner with Operations, Finance, HR, and Engineering to align hiring and optimize systems.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

Lead and scale the data engineering team to design, implement, and maintain cloud data warehouses, robust ETL/ELT pipelines, data sharing/integration, and BI tooling. Drive roadmap prioritization, recruitment, best practices, governance, and cross-functional collaboration to deliver secure, compliant data solutions that enable analytics and product teams.

The Staff Financial Analyst will manage budgeting and forecasting, develop financial models, automate reporting, and collaborate across departments to enhance financial operations.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Analytics Engineer will build data models and pipelines, ensure data quality, and enable self-service analytics across the organization.

The Business Analyst will gather requirements from clients, support project lifecycles, conduct demos, and manage change, while utilizing ServiceNow. Responsibilities include documentation and relationship building.

As a GTM Engineer, you will improve the efficiency of Marketing and SDR teams through automation, AI, and workflow design. You will partner with various teams and take ownership of the solution lifecycle from discovery to delivery.

The Data Engineer will manage data extraction pipelines, modernize data systems, implement monitoring tools, optimize workflows, and support compliance requirements using various tools and platforms.