Top Remote Analytics Engineer Jobs

The Founding Analytics Engineer will lead the data function, improving data infrastructure, ensuring clean data models, and promoting data literacy across Ambrook. Responsibilities include managing data pipelines, dashboards, and offering strategic insights for the company.

The Analytics Engineer will manage data transformation and modeling, ensuring data integrity for analysis and machine learning, collaborating across teams, and optimizing data processes.

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 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 an Analytics Engineer, you'll lead the transformation layer of data, focusing on data quality, refactoring for clarity, and optimizing costs in BigQuery. You'll work closely with cross-functional teams to ensure effective data use and architecture as the foundation for AI initiatives.

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.

Design, build, and maintain dbt-based analytics-ready data models and curated data marts powering a PBM financial risk engine. Onboard and optimize claims, pricing, contract, and utilization data, implement data quality controls, support forecasting and risk metrics, and enable advanced analytics and ML operationalization for finance and underwriting stakeholders.

The Senior Business Intelligence Engineer leads commission analytics initiatives, develops actionable insights using Heap, and mentors junior engineers.

The Senior Analytics Engineer will create scalable data systems, ensure data quality, support cross-functional teams, and communicate insights effectively.

As an Analytics Engineer, you will transform raw data into reliable insights, build data models, and conduct analysis to support product and business decisions.

As an Analytics Engineer, you'll own analytics solutions from data architecture to visualization, ensuring streamlined insights for business stakeholders.

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 build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

As a Senior Software Engineer at AdQuick, you will develop data-intensive analytics systems, manage data pipelines, and create visualizations to drive insights for OOH advertising.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

As a Senior Analytics Engineer, you will build and maintain data pipelines, support analytics needs, and enhance data-driven decision making by collaborating across teams.

The Solution Engineer - Analytics will design and develop analytics solutions, build SQL queries, and collaborate with business stakeholders and data teams while supporting the delivery of analytics systems.

As a Senior Analytics Engineer, you will architect and optimize analytics infrastructure, design data models, collaborate with teams, and ensure data security and compliance.

The role involves developing BI solutions, mentoring junior engineers, and executing complex analytics projects to provide actionable data insights for better business decisions.

The Senior Power Systems Engineer will lead a team focusing on power systems modeling and analytics, mentor engineers, manage projects, and create various transmission and distribution system models and analyses.

The Data Engineer will build and optimize ETL pipelines, manage data integration, and develop data models to enable analytics for marketing and product insights.

The Analytics Data Developer designs and optimizes data pipelines, ensuring data quality for analytics and reporting. They collaborate with data teams to support data-driven decision-making and perform data ingestion and transformation.

The role involves designing, developing, and maintaining integration processes using Dell Boomi or Workato, managing implementations, and collaborating with IT partners to meet client requirements.

The Full Stack Analytics DevOps Engineer will architect, automate, and operate enterprise analytics platforms, focusing on Infrastructure as Code and ensuring security in cloud environments. This role involves improving CI/CD workflows, collaborating with IT architecture, and developing reusable modules for analytics solutions.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.