Top Analytics Engineer Jobs

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 Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.

The role involves designing and developing web-based products, integrating AI/ML technologies, optimizing digital experiences, and collaborating with cross-functional teams to support marketing and enhance customer engagement.

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

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.

As a Cognitive Analytics Engineer, you will develop agentic AI systems and digital twin environments, optimize workflows, and collaborate with scientists for breeding strategies.

The Analytics Engineer will build and maintain data infrastructure and dashboards, support ad hoc data requests, and manage stakeholder relationships.

The Associate Analytics Engineer supports dashboard development, data modeling, and reporting solutions, ensuring data accuracy and fostering analytics best practices. This entry-level role aids business teams in data-driven decision-making.

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.

The Senior Analytics Engineer will design data warehouses, build transformation pipelines, optimize queries, and mentor stakeholders on data practices to enhance decision-making across the company.

Design and implement large-scale data warehouses, optimize data pipelines using SQL and dbt, and mentor teams in data best practices.

The Senior Analytics Engineer designs large-scale data warehouses, builds data pipelines, and provides architectural guidance to ensure data quality and accessibility for decision-making across the company.

Design and implement data warehouses, build transformation pipelines, mentor teams, and ensure data quality to facilitate informed decision-making.

The Analytics Engineer will develop the reporting infrastructure, manage data integration from various sources, and create automated dashboards for client performance insights.

The Lead GTM Analytics Engineer designs and manages the data model for GTM execution, ensuring accurate metrics and insights across Sales, Marketing, Customer Success, and Partnerships to drive revenue performance.

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.

The role involves building and maintaining data pipelines, optimizing data warehouses, creating analytics dashboards, and implementing predictive models to enhance revenue operations.

The Senior Analytics Engineer will design and maintain data models, ensure data quality, collaborate with teams on data requirements, and set engineering standards for data pipelines at Remitly.

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.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

The GTM Analytics Engineer will enhance data usage across the revenue organization by refining models, designing workflows, automating processes, and partnering with teams to improve GTM strategies.

The candidate will design and develop data analytics tools for the Blackstone Credit & Insurance platform, collaborating with teams to produce scalable analytics solutions and interactive dashboards.

As a Senior Data Analytics Engineer, you will design Snowflake's internal data platform, lead data initiatives, enforce governance policies, integrate AI tools, and resolve data issues, ensuring optimal data flow and access across key functions.

In this role, you will design and lead data initiatives for Snowflake's internal data platform, ensuring data governance, adopting AI workflows, and enforcing technical standards for data management while collaborating across teams.