Top Data & Analytics Jobs in Austin, TX
The IT Development Senior Analyst will lead project teams, define specifications, and modify complex information system programs. They are responsible for developing cloud-based architecture, managing Informatica MDM administration, troubleshooting, and collaborating with cross-functional teams to enhance system performance and integration.
The Program Research Associate, known internally as a Curator, is responsible for verifying and maintaining program data, researching and adding new organizations to the network, responding to external requests, and participating in team meetings. The role is entry level with opportunities for learning and development.
As a Tableau Developer at SciPlay, you will create and maintain data visualizations and dashboards to aid decision-making. You'll analyze business problems, identify trends in data, and collaborate with teams to optimize processes. Your work will directly impact company growth through clear insights and actionable reports.
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In this role, you will develop AI/ML strategies to enhance customer support, lead the development of natural language processing systems, and collaborate with other teams to integrate ML capabilities into Canva's product offerings.
The People Analytics Manager will lead the development of HR and Recruiting dashboards, translate data insights into visual tools, manage a small team, ensure data integrity, and collaborate with internal teams to enhance dashboard capabilities.
The Deal Desk Analyst will support the closure of commercial deals, providing deal structuring and pricing support while collaborating with internal teams. Responsibilities include advising the sales team, managing deal queues, and ensuring smooth contract execution, with a strong focus on driving revenue growth.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
The Senior Machine Learning Engineer at Samsara will be responsible for developing ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This remote position requires working closely with engineering teams to deliver core infrastructure and services.
The Business Analyst will work within Arcadia’s Product Management team to drive innovation by analyzing data and providing insights that shape product development. Responsibilities include collaborating with various teams, refining product requirements, delivering key performance insights, and leading cross-functional projects that contribute to healthcare solutions.
The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
The Senior Technical Data Analyst will lead deep data analysis to identify trends and business opportunities, mentor junior analysts, develop data-driven solutions, and ensure data quality. Collaborating with cross-functional teams, the analyst will enhance GHX's data and analytics solutions, applying expertise in AI and machine learning when necessary.
As a Senior Data Scientist at Webflow, you will analyze user engagement and define success metrics to drive product improvements, develop data pipelines, collaborate on growth opportunities, and enhance user experiences with actionable insights.
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