Top Remote Analytics Engineer Jobs

The Staff Analytics Engineer will bridge data engineering, data science, and business analytics, building data solutions, enabling data-driven decisions, and collaborating with cross-functional teams to optimize business metrics.

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.

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

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

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

The Analytics Engineer will support Finance and Accounting operations, focusing on data model development, platform optimization, technology adoption, problem-solving, and collaboration to drive data-driven business decisions.

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.

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

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

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

As a Senior Analytics Engineer, you will implement a scalable analytics infrastructure, design core data models, and collaborate cross-functionally to enhance business decision-making.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

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.

As an Analytics Engineer, you'll design and implement data models, transform raw data into usable datasets, and create dashboards and reports using Tableau, collaborating across teams to meet business insights needs.

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.

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

Lead analytics initiatives for PlayStation Studios, focusing on marketing and publishing decisions, and improve data models for game performance insights.