Top Analytics Engineer Jobs in Boston, MA

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

As a Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

The Senior Finance Analytics Engineer designs dbt models, collaborates on metrics with finance teams, and enhances data for AI consumption while maintaining SOX compliance.

The RevOps Analytics Engineer is responsible for maintaining data infrastructure, building reliable data systems, and supporting revenue analytics through effective data modeling and ETL/ELT processes.

As an Analytics Engineer, transform raw data into metrics, manage data pipelines, ensure data integrity, and collaborate with teams for analytics solutions.

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 Analytics Engineer at Seeq will work as a technical advisor, leading customer engagements, designing and implementing analytics solutions, and providing industry expertise to optimize industrial processes.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.

The Principal Analytics Engineer will design and engineer a data infrastructure to support AI-powered insights and reporting for Elastic's marketing strategies, ensuring data quality and usability for all stakeholders.

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 Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.

The Analytics Engineer will build and maintain the semantic layer of data, ensuring reliable metrics, orchestrating ETL processes, and implementing compliance for PHI data in a healthcare setting.

The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.

The Senior Analytics Engineer will strategize data initiatives for secure payment solutions, crafting data models and KPIs while collaborating cross-functionally to enhance product insights and analytics capabilities.

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 Senior Software Engineer will enhance the analytics platform, focusing on record matching through API design, architecture creation, and collaborating with product management while mentoring junior engineers.

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.

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

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 Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Analytics Software Engineer IV designs and implements cloud-based data pipelines, develops analytics solutions, improves data quality, and mentors team members. Responsibilities include optimizing data solutions and automating reporting processes while collaborating with teams in a fast-paced healthcare environment.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

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

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.