Top Analytics Engineer Jobs in Boston, MA

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 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.

The Data Analytics Engineer will develop data models, perform data wrangling, and create dashboards to drive insights for business decisions at Bose Corporation.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

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

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

The Associate Consultant will work on manufacturing process design, optimization, and scaling in the biotech sector, conducting data analyses and supporting client presentations.

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.

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 Product Data Analyst, you'll drive data-informed decision-making across teams, develop data products, collaborate on metrics, and influence product strategies.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

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.

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 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.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.

The Analytics Engineer will build reliable data models, manage ETL workflows, and support Sales and Customer Success with actionable insights from data. Responsibilities include creating dashboards, designing metrics, and owning data pipelines and quality testing.

The role involves leading the FinOps practice, overseeing cloud cost management across product and platform groups, and ensuring strategic alignment and cost efficiency. Responsibilities include team leadership, collaboration with engineering and finance, and reporting to senior leadership.

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 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.

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.