Top Analytics Engineer Jobs in Boston, MA

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

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

As an Analytics Engineer, you will design, build, and maintain data models and pipelines, collaborating with Data Engineering and Data Science teams to transform data into actionable insights while ensuring data quality and governance.

The Staff Analytics Engineer will bridge data engineering, data science, and business analytics, building data solutions, enabling data-driven decisions, and collaborating with cross-functional teams to optimize business metrics.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

The Staff Analytics Engineer will model and organize data, develop scalable data models, lead analytics projects, and collaborate across teams to enhance data-driven decision-making.

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

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

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

Responsible for developing advanced analytics, dashboards, machine-learning models, and generative AI tools to support ZOLL's Global Technical Services, enabling data-driven decision making and optimizing processes.

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

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Seek a Lead Analytics Engineer to design and build scalable data solutions, oversee data engineering, and collaborate with cross-functional teams to meet data needs.

As a Staff Analytics Engineer, you'll architect and implement scalable data solutions, lead the analytics strategy, and mentor junior engineers, optimizing data processes and delivering insights that influence business growth.

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 Analytics Engineer will develop scalable data models, collaborate with business teams, and ensure data quality, while empowering stakeholders with tools and training.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The Senior Analytics Engineer focuses on building and managing people data solutions to enhance employee experience and organizational health, creating reliable data products, and partnering with leadership to inform decisions.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Senior Analytics Engineer will design and maintain data models, build data pipelines, and optimize data infrastructure while collaborating with teams like Data Engineering and Data Science to support business intelligence and advanced analytics.