Top Analytics Engineer Jobs in Austin, TX

As a Lead Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Staff Analytics Engineer will establish a data foundation aiding various teams at Kit by refining reporting models, ensuring consistent metric definitions, and enhancing stakeholder self-service capabilities.

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 Finance Analytics Engineer will develop analytics-ready data models, collaborate with stakeholders to design data solutions, and support Finance reporting and AI use cases.

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.

The Lead Analytics Engineer drives scalable data solutions, enhances data strategy, and leads technical initiatives while mentoring the analytics team.

As a Manufacturing Engineer, you'll develop methods for manufacturing processes, work with engineering teams on product enhancements, reduce costs, and improve quality using lean principles and test evaluations.

The Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.

The Lead Analytics Engineer will build a canonical data foundation for decision-making at Kit, enable self-service data exploration for stakeholders, and modernize the analytics process across departments.

Lead the analytics vision for unified revenue measurement across Netflix Ads, driving frameworks for quantifying and reporting on revenue streams, while building scalable data models and dashboards in partnership with Data Engineering.

As a Payment Analytics Engineer, you will ensure data consistency in payments, automate reporting, analyze interchange data, and collaborate with Engineering for data management.

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

The Senior Data Engineer will build analytics-driven data platforms for EDA datacenters, transforming observability data into usable datasets for analysis and insights, collaborating with cross-functional teams, and ensuring data quality and scalability.

Collaborate with stakeholders to analyze data and metrics, implement analytical models, and enhance data quality for business forecasting.

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

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 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.

As an Analytics Engineer, you will build data workflows and analytics products, ensuring data accuracy and reliability while contributing to financial data deliveries.

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.

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.

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

The Senior Staff Engineer - SAP Analytics Consultant oversees SAP analytics projects, focusing on SAP Analytics Cloud solutions, data integration, and collaborating with business stakeholders to gather requirements and support analytics functionalities.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.