Top Data & Analytics Jobs in Austin, TX
The HR Analyst audits and analyzes HR-related compensation and benefit areas, prepares reports and forecasts, reviews financial records for accuracy, supports Total Rewards projects, and develops metrics for decision-making. This role requires strong analytical skills and the ability to communicate insights effectively.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Quality Assurance Analyst will test and analyze software applications to ensure quality standards are met. Responsibilities include designing test plans, collaborating with development teams, assisting with troubleshooting, and improving user experience and application functionality.
The Data Scientist - Architect will design, develop, test, and support scalable machine learning solutions using Azure tools. Responsibilities include leading technical discussions with clients, assisting with pre-sales activities, elevating team talent through coaching, and identifying opportunities for Azure solution architecture in client accounts.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
Join Twilio as a Senior Data Analyst in the Enterprise Strategy and Operations team. Partner with cross-functional teams to drive growth initiatives and operational excellence through data-driven projects. Develop data products, automate workflows, and mentor junior analysts. Contribute to Twilio's operational strategy by providing data insights and self-service reporting.
The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Senior Compensation Analyst will manage and administer compensation programs to ensure competitive pay and internal equity. Responsibilities include conducting compensation benchmarking, driving annual reviews, supporting executive compensation offers, and maintaining compensation systems. The analyst will also provide training and analytical support to the People team and ensure compliance with compensation regulations.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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