Top Remote Data & Analytics Jobs in Austin, TX

The Cloud FinOps Engineer optimizes financial operations for cloud and IT environments, delivering cost efficiency through governance and data analysis. Collaborates with engineering teams and aligns financial objectives with technical decisions.

Develop and deliver data infrastructure and rapid prototypes to support data science and analytics. Collaborate with data scientists and business partners to define requirements, build and test data solutions, mentor teammates, and support predictive modeling and enterprise data assets from prototyping through production.

The JD Edwards Finance Analyst configures, supports, and troubleshoots JDE finance modules, while analyzing business needs and documenting functional requirements.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

As a Revenue Integrity Analyst II, you will audit charges, analyze billing data, ensure compliance, and collaborate with cross-functional teams to improve revenue integrity.

Responsible for analytical data needs, guiding complex data projects, and providing insights for decision-making in workforce and talent operations.

Develop and optimize data pipelines for reporting and advanced analytics. Ensure data quality and create real-time processing applications. Collaborate with DevSecOps teams and enhance data management procedures.

The Director leads analytics and reporting for decision-making, manages staff, analyzes data, collaborates with teams, and directs strategies to improve efficiencies and reporting solutions.

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

The analyst will assist in financial forecasting, budgeting, and reporting, create financial models, and collaborate with various operational teams, ensuring informed decision-making.

The analyst will connect data to business issues, develop dashboards, support fraud detection systems, collaborate cross-functionally, and analyze performance for improvements.

Lead Sales and Marketing analytics for GTM optimization: build dashboards, run deep-dive and predictive analyses, ensure data integrity, support incentive and quota modeling, and present executive-level insights to drive pipeline, conversion, and revenue efficiency.

Analyze data and create visualizations to drive business decisions, collaborating with team members and stakeholders to provide actionable insights.