Top Analytics Engineer Jobs in Austin, TX

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

The CX Analytics Engineer at Coinbase will design, build, and maintain data pipelines and models for customer experience and compliance using SQL and modern data tools.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

As a Senior Staff Data Solutions Engineer, you'll design and implement data solutions, collaborate with clients, optimize databases, solve data-related issues, and stay updated on industry trends.

As a Performance Engineer, you'll optimize compute and storage performance, diagnose inefficiencies, and collaborate with teams to improve workflows and infrastructure efficiency.

The Analytics Engineer will build data models, design pipelines, collaborate with stakeholders, and drive data quality standards while influencing business decisions through analytics.

Design and maintain financial data models, develop data pipelines, create dashboards, and enable self-service data access for Finance stakeholders, leveraging AI for analytics.

The Analytics Engineer will build data infrastructure, manage data integrity, create dashboards, and enable data-driven marketing decisions. This role requires AI tool integration in daily work and collaboration with marketing stakeholders for insights and strategy.

The AI Analytics Engineer will build scalable AI-powered analytics infrastructure, design evaluation frameworks, and drive cross-functional adoption, transforming how analytics are approached within the organization.

The Senior Analytics Engineer role involves designing data models, optimizing data pipelines, collaborating with teams, and translating business requirements into actionable insights, driving commercial value from data.

Join Avride as a Data Analytics Engineer to build ETL pipelines, manage datasets, write SQL queries, and create dashboards for data insights.

The Data Analyst will build data pipelines, analyze complex datasets, and provide insights to support decision-making across multiple stakeholders in GFiber.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

Lead end-to-end web and mobile analytics: design and implement tagging strategies, ensure data quality, build data pipelines and dashboards, analyze user behavior, and provide actionable insights to Product, Marketing, and Engineering stakeholders.

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

The Staff Analytics Engineer will develop high quality data assets, mentor team members, enhance data strategies, and drive data quality across Airbnb using advanced data modeling, distributed processing frameworks, and BI tools.

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 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 a Data Analytics Engineer, you will design and manage data pipelines, integrate diverse datasets, and enhance data quality and performance within our cloud environment. You'll collaborate with teams and contribute to code reviews and technical direction.

Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.