Top Analytics Engineer Jobs in Boston, MA

Lead the development of programmatic signals analytics for Netflix Ads, creating metrics and dashboards for optimizing audience targeting and ROI.

The Analytics Engineer will build analytical frameworks to enhance identity experiences at Netflix, collaborating across teams to ensure data quality and drive insights.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

Develop and support tools, automation, analytics, and live ops for games, emphasizing collaboration and best practices within teams.

The Senior Data Engineer is responsible for building scalable data solutions, collaborating with teams, and mentoring while overseeing data governance and strategy execution.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.

The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.

The Pre-Sales Technical Solutions Engineer designs and presents data and AI solutions, guiding clients on analytics architecture and machine learning to drive enterprise initiatives.

The role involves designing and building scalable data systems, managing data pipelines, ensuring data quality, and collaborating across various teams. Responsibilities include enhancing data infrastructure, writing production-grade code, developing dashboards, and mentoring team members.

As a Senior Analytics Engineer, you will design metrics, perform deep-dive analyses, and automate reporting while collaborating with partner teams.

The Senior Analytics Engineer will build scalable data models, uphold technical best practices, support operations teams, and mentor other engineers while ensuring data-driven decision-making across HubSpot.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

As a Senior Analytics Engineer, you'll design and maintain data models, optimize data infrastructure, and collaborate with cross-functional teams to derive actionable insights through analytics and reporting.

The Senior Analytics Engineer will translate data into actionable insights, lead BI design, develop dashboards, and ensure data quality standards while facilitating training across divisions.

As a Senior Analytics Engineer, Finance, you will develop financial data systems, manage data pipelines, and collaborate with stakeholders on reporting and data governance, ensuring data quality and scalability.

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 Senior Analytics Engineer leads data model design and implementation, drives best practices in analytics engineering, and collaborates with teams to ensure reliable analytics solutions that meet client objectives.

Design, implement, and optimize data systems for analytics and care coordination, collaborate with teams, and automate reporting processes.

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.

Lead the design, development, and delivery of Genesys App Foundry applications, collaborate across teams to enhance solutions, and ensure compliance with data regulations.

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.