Top Analytics Engineer Jobs

Collaborate with data scientists to extract features, preprocess data for machine learning, monitor data quality, and optimize data pipelines using engineering best practices.

The Analytics Engineer will build data infrastructures, create dashboards, define metrics, structure datasets for AI projects, and foster insights across company functions.

The AV Safety Engineering Analytics Engineer develops data analytics infrastructures, defines metrics for safety assurance, and creates visualizations for automated vehicle technologies, enhancing decision-making through data integration and analysis.

As a Senior Agentic Analytics Engineer, you'll build AI-driven analytics systems to proactively offer insights and influence business decisions. Responsibilities include developing AI tools, owning analytics pipelines, and driving data models that support automation and intelligence in business operations.

As a Senior Agentic Analytics Engineer, lead the development of AI-driven analytics systems that proactively provide insights and recommendations, driving business decisions by implementing cutting-edge AI and data engineering practices.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

Lead data integration strategies, ensure data quality, develop BI improvements, and manage junior analysts to meet customer analytics needs.

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

The GTM Analytics Engineer will build and maintain data infrastructure, automate processes, and collaborate across teams on data management and insights to support revenue growth.

As a Lead Analytics Engineer, you will build data products, collaborate with stakeholders, drive technical excellence, and mentor junior engineers.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

As a Principal Analytics Engineer, you'll drive the architecture and data infrastructure for the Customer Success team, transforming raw data into analytics-ready datasets, collaborating across departments, and ensuring data reliability and consistency.

As an Analytics Engineer, you will design and manage the data architecture for HR Performance & Goal Management, integrating various data sources and ensuring compliance with data governance standards.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

As a Data Analytics Engineer, you'll build and manage data models in Snowflake, structure datasets for optimal AI performance, and own data transformation while ensuring quality and accessibility for all teams.

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

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The Data Analytics Quality Engineer at Boeing is responsible for data analysis, process monitoring, quality metrics development, and ensuring compliance with regulations. The role involves collaboration with teams and stakeholders, and addressing non-conformance trends to suggest corrective actions.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

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

The Senior Analytics Engineer will design data models, build data pipelines, and support analytics needs across teams, enhancing data infrastructure.

The Analytics Engineer will enhance data assets, develop data models, optimize BI infrastructure, manage cross-functional partnerships, and ensure data quality through anomaly detection and documentation.

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.