Top Data & Analytics Jobs in Austin, TX
Design, implement, and optimize data pipelines and systems for developer productivity reporting. Collaborate with teams to ensure data architecture supports product vision and provides actionable analytics while improving engineering processes.
As a Staff Data Engineer, you will design and build data models for Business and Studio, develop APIs, monitor data pipelines, and collaborate with business partners and developers to meet project requirements. You will utilize your expertise in different data modeling methodologies and technologies to deliver data products and insights across the organization.
As the Director of Data and Analytics at Nutrabolt, you will lead the consumer insights team, develop marketing analytics capabilities, and drive optimization of marketing investments through data-driven insights, collaboration, and effective decision-making.
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As a Graduate Quantitative Researcher, you will develop algorithmic trading strategies using statistical models and machine learning, analyze data to identify trading opportunities, and build models for pricing financial derivatives in a collaborative research team.
The Data and Privacy Analyst will manage legal and operational risks concerning sensitive information by developing policies, conducting assessments for compliance with global privacy laws, overseeing data agreements, and training stakeholders on privacy issues. The role involves engaging with legal teams, managing data subject rights, and implementing data governance tools.
The Commercial Card Support Analyst supports Texas Capital Commercial Card clients post-implementation by triaging requests, assisting clients with payment issues, and managing communication with vendors. This role involves collaborating with sales and development teams to enhance client-facing processes and ensuring customer satisfaction.
The Expense Analyst at Eagle Eye Networks is responsible for managing accounts payable processes including reviewing and approving employee expense reports, entering and uploading invoices, reconciling accounts payable ledgers, and generating expense reports. This role requires strong computer skills and familiarity with accounting software.
The Data Scientist will analyze large datasets to identify patterns, create predictive models, automate data collection processes, and provide actionable business insights. Responsibilities include developing algorithms, collaborating with engineering teams, and utilizing data visualization to enhance decision-making.
As a Biz App and Data Engineer, you will collaborate with cross-functional teams to develop software solutions and enable scalable Electronic Design Automation in a Cloud environment. You will engage in data analytics for Tapeout processes and develop applications using technologies such as Python, Angular, and Java on AWS or Azure platforms.
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.
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