Top Data & Analytics Jobs in Austin, TX
The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.
Experienced data analyst needed to tackle supply chain analytics challenges at Dandy, a dental industry tech company. Responsibilities include developing insights, defining data language, facilitating decision making, mentoring analysts, and utilizing data for problem-solving. Ideal candidates have 3+ years of experience in operations analytics or data science, BA/BS in a quantitative field, strong SQL and Python skills, and the ability to communicate results effectively.
The System Field Analyst (Bot) role involves leading system performance analysis for bot operations, identifying and documenting system defects, collaborating with technical teams for solutions, and communicating issues impacting schedules. The analyst will utilize SQL and Python for data interpretation and reporting while maintaining teamwork in a dynamic environment.
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The role involves labeling data, writing code, and providing feedback to enhance AI model performance. Responsibilities include annotating datasets, evaluating code, contributing to model training, and collaborating with AI professionals and data scientists.
The Lead Sales Compensation Analyst at Motive will manage day-to-day sales commissions processes, provide resolution for inquiries, validate data through analysis, and support system updates while ensuring compliance and process improvement.
As a Lead Researcher at Bjak, you will conduct in-depth research on blockchain technology and cryptocurrency trends, producing high-quality reports that influence strategic decisions and product development. Collaborating with cross-functional teams, you will ensure offerings align with industry developments and represent the company in the blockchain community.
The Data Engineer II role at Bestow involves building scalable data solutions, improving data quality and availability, creating data models and pipelines for analytics and machine learning, and collaborating with various teams to ensure efficient data management.
The Analyst, Value Analytics & Operations role involves leveraging data analysis to enhance operations and client experiences. Responsibilities include contributing to client value stories, maintaining operational processes, and collaborating with different teams. The role requires strong data skills to investigate metrics, create reports, and support strategic insights.
The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
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