Top Analytics Engineer Jobs in Boston, MA

The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.

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 Power BI Developer will design and maintain Power BI dashboards, analyze data trends, and develop automated reporting solutions to enhance business performance.

The Support Solutions Engineer is responsible for monitoring and resolving customer requests, automating support needs, and improving support tools while advocating for customer experiences in data platform infrastructure.

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.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.

The Senior Analytics Engineer will develop data pipelines, ensure adherence to CI/CD standards, improve data accessibility, and collaborate with various teams to deliver AI-enabling data products while driving best practices in data product development.

The Senior MLOps Engineer will develop, deploy, and maintain cloud-based ML platforms, integrating advanced AI tools and ensuring operational excellence in healthcare data management.

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.

Develop and maintain Oracle-based analytics for workforce metrics and compliance reporting, ensuring outputs meet accessibility standards. Collaborate on requirements with federal HR teams and support reporting needs across multiple agencies.

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, build, and maintain ELT pipelines and analytics-ready data models to support reporting, KPIs, and downstream ML use cases; implement data quality, optimize pipeline performance, document lineage, and ensure governance and privacy.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

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 build data models and dashboards, ensuring data quality and governance, while collaborating with teams to answer business questions and improve resident engagement.

The Principal Engineer will design, develop, and implement SAP Analytics solutions, focusing on reporting tools and data integration while collaborating with cross-functional teams.

The Lead Python Developer will design and develop Python-based analytics solutions, create reporting tools, collaborate with stakeholders, and mentor peers in a healthcare analytics environment.

Develop and maintain AI-powered workflows, build orchestration services, and APIs, connecting ETL and data pipelines with a focus on scalability and performance.

As a Senior Analytics Engineer, you will develop and maintain Looker semantic layers, design BI models, and ensure data quality for business reporting.

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

In this role, the Senior Data Systems Analyst will master the data pipeline architecture, contribute to infrastructure improvements, solve complex data challenges, and build partnerships within the company to enhance data systems.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.

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.

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.