Top Analytics Engineer Jobs in Austin, TX

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Staff Analytics Engineer is responsible for defining, modeling, and governing the enterprise data layer, ensuring accurate and auditable reporting across the organization. Key tasks include managing data contracts, enforcing data quality standards, and collaborating with multiple teams to maintain a consistent data model.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The Analytics Engineer will build data models and pipelines, ensure data quality, and enable self-service analytics across the organization.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

The Sr. Analytics Engineer will design and optimize analytics solutions, developing Tableau dashboards and managing data pipelines while fostering cross-functional collaboration.

The Analytics Engineer will develop and manage dbt models and SQL queries, collaborate with stakeholders, ensure data quality, and support data analysis. They'll translate business needs into technical data solutions and maintain clear communication with diverse teams.

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.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Analytics Engineer will own and optimize the DBT analytics pipeline, enhance data models, ensure data accuracy, and innovate solutions while collaborating with stakeholders.

The Analytics Engineer will build reporting models in Snowflake, manage data pipelines, support data integration, train staff, and document processes ensuring analytics integrity.

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 Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

The Senior Analytics Engineer will design and maintain data models, oversee the ELT process, ensure data quality, and collaborate with various teams to support analytic needs and governance practices.

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

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

In this role, you will enhance analytics workflows, mentor peers, drive data product improvements, and use AI tools for automation in Corporate Finance.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

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.

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

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

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.