Top Analytics Engineer Jobs in Boston, MA

Lead Analytics Engineer responsible for data modeling, transformation, pipeline orchestration, quality governance, and empowering data-driven decisions across the organization.

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

The Sr. Analytics Engineer will design and maintain analytics data for marketing insights, transforming raw data into usable datasets while collaborating with teams to ensure data integrity and scalability.

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

The AV Safety Analytics Engineer will develop data analytics infrastructure for automated vehicle safety, utilizing cloud processing and statistical methods. Responsibilities include creating data visualizations, monitoring metrics, and ensuring data integrity across systems.

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.

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 Senior Analytics Engineer will build and maintain reliable compensation data systems, ensuring data integrity and governance, while partnering with leadership to drive better employee experiences and optimizing compensation processes.

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

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.

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.

As a Staff Analytics Engineer, you will bridge data engineering, data science, and business analytics to generate actionable insights, build data models, and empower stakeholders across the organization.

The Analytics Engineer will transform data into actionable insights, collaborating across teams to establish metrics, build data models, and create dashboards for improved business performance.

As a Senior Software Engineer, you will lead the design and implementation of scalable data pipelines, mentor engineers, and collaborate with cross-functional teams to enhance AI and analytics data for product features.

The Staff Analytics Engineer will develop high quality data assets, mentor team members, enhance data strategies, and drive data quality across Airbnb using advanced data modeling, distributed processing frameworks, and BI tools.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

The Senior Analytics Engineer collaborates with product managers and data teams to develop analysis tools, metrics, and frameworks that enhance media production efficiency and strategy at Netflix.

As a Data Analytics Engineer, you will design and manage data pipelines, integrate diverse datasets, and enhance data quality and performance within our cloud environment. You'll collaborate with teams and contribute to code reviews and technical direction.

Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Architect, build, and maintain scalable ELT data pipelines and analytics-ready data marts. Lead dbt modeling, ensure data quality, CI/CD, and documentation. Partner with stakeholders, mentor junior engineers, evaluate tooling (reverse ETL), and drive long-term data platform strategy.

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.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Staff Analytics Engineer will establish a data foundation aiding various teams at Kit by refining reporting models, ensuring consistent metric definitions, and enhancing stakeholder self-service capabilities.