Top Analytics Engineer Jobs

The Senior Principal Data Analytics Engineer will lead transformations in data architecture and analytics, focusing on high-quality, accessible data for decision-making, while collaborating with teams, ensuring governance, and optimizing performance.

The Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

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.

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.

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.

Lead the development of proactive AI analytics systems and tools that enhance decision-making and optimize business performance at Opendoor.

As a Senior Agentic Analytics Engineer, you will build AI systems for proactive analytics, design data models, and influence business decisions through advanced analytics solutions.

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.

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 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.

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.

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

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 role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

As a Data Engineer, you will develop scalable data pipelines, optimize performance, ensure data reliability, and collaborate with cross-functional teams on AI-driven features and analytics.

Design and implement data platforms, develop MLOps capabilities, enhance data orchestration; collaborate with teams for innovative solutions.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

As a Senior Analytics Engineer, you'll design data systems, implement data warehouses, optimize pipelines, ensure data quality, and mentor stakeholders on data best practices.