Top Analytics Engineer Jobs in Austin, TX

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

As an Analytics Engineer, you'll support internal teams by developing reliable data models, ensuring data quality, and creating intuitive reporting structures to facilitate decision-making across the business.

The Senior Analytics Engineer collaborates with product managers and data teams to develop analysis tools, metrics, and frameworks that enhance media production efficiency and strategy at Netflix.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

As a Senior Analytics Engineer, you will bridge data engineering and analytics, creating scalable data solutions while collaborating with stakeholders to drive data-driven decisions and improve business value.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

As an Analytics Engineer, you will develop and maintain analytics platforms, support data collection and orchestration, and improve code quality through best practices. You will collaborate with product teams and participate in on-call support for production services while engaging in a collaborative workplace culture.

The Analytics Engineer will architect and maintain Rollstack's data stack, build data pipelines, normalize data, and support analytics for product and GTM teams.

Lead the development of programmatic signals analytics for Netflix Ads, creating metrics and dashboards for optimizing audience targeting and ROI.

Design, develop, and operate metrics infrastructure for autonomous vehicles, working on data models, storage solutions, and scalable pipelines in collaboration with development and analytics teams.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

The Senior Analytics Engineer will transform raw data into structured datasets, develop scalable data models, ensure data accuracy, and create analytics solutions and dashboards using Looker.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

As a Sr. Analytics Engineer, you will partner with multiple stakeholders to transform data into actionable insights, maintain data governance, and drive product improvement through analytics engineering practices.

The Pre-Sales Technical Solutions Engineer designs and presents data and AI solutions, guiding clients on analytics architecture and machine learning to drive enterprise initiatives.

The role involves designing and building scalable data systems, managing data pipelines, ensuring data quality, and collaborating across various teams. Responsibilities include enhancing data infrastructure, writing production-grade code, developing dashboards, and mentoring team members.

Lead the design, development, and delivery of Genesys App Foundry applications, collaborate across teams to enhance solutions, and ensure compliance with data regulations.

As a Senior Analytics Engineer, you'll design and maintain data models, optimize data infrastructure, and collaborate with cross-functional teams to derive actionable insights through analytics and reporting.

The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.

Lead the development of AI/ML product analytics infrastructure to improve decision making and product performance monitoring in healthcare settings.

As a Senior Analytics Engineer, Finance, you will develop financial data systems, manage data pipelines, and collaborate with stakeholders on reporting and data governance, ensuring data quality and scalability.