Top Data & Analytics Jobs in Austin, TX
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.
The Business Analyst will engage with clients to document requirements and project workflows, create use cases, maintain communication across teams, mentor teammates, and ensure adherence to security policies. A focus on technology and problem-solving in an Agile environment is vital.
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Lead customers through transformational change by designing and executing data and analytics strategies. Collaborate with leaders to address business challenges while contributing to the Data and Analytics Consulting practice.
Manage and support the Compensation System by developing commission and bonus plans. Translate business needs into technical requirements, ensure data integrity, audit processes, and improve user adoption of sales compensation systems. Test solutions and collaborate with sales and compensation teams for enhancements.
As a Lead Data Engineer, you'll design and maintain data lakes and warehouses, develop data management processes, implement data security and governance measures, and ensure high data quality. You'll collaborate with engineers, apply Agile methodologies, and oversee the complete lifecycle of complex data systems.
As a Total Rewards Analyst, you will engage in analysis, benchmarking, and reporting. Key responsibilities include liaising with partners, managing the annual review processes for compensation, and conducting FLSA reviews while collaborating with leaders across the organization.
The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
The Data Scientist will analyze large datasets, develop predictive models, and provide insights to drive business decisions. Responsibilities include trend analysis, model development, and collaboration with product and engineering teams to enhance platform accuracy.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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