Top Data & Analytics Jobs in Austin, TX
The Staff Data Scientist will enhance data labeling capabilities at Pinterest by applying data science to improve throughput and quality of data collection. Responsibilities include identifying analytical opportunities, collaborating with engineers and customers, mentoring other data scientists, and evolving platform strategies in partnership with product and engineering leaders.
As a Data Operations Engineer at Podium, you'll manage data flow, optimize systems, and support engineering teams in using various data technologies, particularly Elasticsearch. You'll focus on performance tuning, automating infrastructure with Terraform and Ansible, and contributing to AI initiatives for local businesses. This role emphasizes collaboration and innovation in a fast-paced environment.
The Senior Analyst for Sales Incentive Compensation will manage the full cycle of sales incentive plans, ensuring accurate calculations and reporting. Responsibilities include reconciling commissions, handling inquiries from the sales team, and supporting compliance projects while identifying process improvements.
Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.
The role involves analyzing a variety of structures including metallic and reinforced concrete structures for small modular reactors. Responsibilities include executing and documenting static and dynamic analyses, reviewing designs, preparing deliverables, and supporting licensing documentation. The role requires familiarity with various software and codes relevant to structural analysis.
The Operations Analyst will support revenue operations by automating data transmission, maintaining SaaS applications, analyzing data trends, and collaborating with teams to enhance operational efficiency. This role involves documentation, report creation, and the implementation of scalable solutions for data management.
The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.
The BI Analyst will develop and manage Tableau dashboards, collaborate with teams to improve member satisfaction, ensure data quality, and automate reporting processes. This role is vital for driving data-informed decision-making and enhancing the operational performance of the organization.
As a Principal Incident Response Analyst, you will lead incident response initiatives, manage critical security incidents, refine processes, and collaborate with cross-functional teams to enhance cybersecurity measures. You will also develop IR playbooks, direct team activities, and interact with C-Suite, focusing on continuous improvement of incident management.
The Data Manager 2/REDCap Programmer supports clinical research and epidemiological studies by managing and capturing data. Responsibilities include developing databases and eCRFs, ensuring data quality, conducting QA/QC testing, and creating reports to monitor study progress. The role involves collaboration with a multi-disciplinary team and contributes to the overall data management lifecycle.
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