Top Analytics Engineer Jobs in Austin, TX

The Analytics Engineer will build scalable data products, improve the analytics platform, and support internal teams by translating business needs into data assets.

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

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.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

As a Staff Analytics Engineer, you'll architect and implement scalable data solutions, lead the analytics strategy, and mentor junior engineers, optimizing data processes and delivering insights that influence business growth.

The Systems Engineer will develop data application tools, collaborate with cross-functional teams, design solutions, and improve platform architecture.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

Develop and enhance Cloudflare's analytics and reporting capabilities, focusing on full-stack solutions leveraging large-scale data analytics while collaborating with engineers and product managers.

As a Staff Product Analytics Engineer, you will build and maintain data infrastructure, collaborate across teams to enhance product data use, and develop tools for data self-service.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

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

Lead sales analytics development within Salesforce, creating Tableau dashboards, applying predictive insights, and collaborating with sales leadership to drive data-driven decisions.

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.

The Staff Analytics Engineer will architect the management reporting warehouse, enforce data governance, collaborate with Finance, and ensure rigorous data standards for business reporting.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

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 an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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

The Senior Analytics Engineer will design scalable data models, collaborate with teams to create analytics pipelines, and implement data governance best practices.

The Detection Engineer will enhance OT security by cataloging assets, developing detection logic, troubleshooting configurations, and conducting research on PCAPs in collaboration with engineering teams.

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 Analytics Engineer will design datasets, metrics, and dashboards for the Ads business, conduct analyses, and drive projects to solve business problems.