Top Analytics Engineer Jobs in Boston, MA

Lead the Analytics Engineering team to enhance data modeling and transformation, ensuring accurate data governance and user empowerment through effective data pipelines and models.

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 Data Analytics Engineering Co-op, you will assist in developing data pipelines, data modeling, and quality assurance while working with cross-functional teams to enable insightful analytics for business operations.

Design, develop, and manage AWS-based data engineering solutions, mentor junior engineers, and ensure data integrity and compliance.

The Analytics Engineer will create and maintain data models, collaborate with stakeholders, build ETL pipelines, and ensure data integrity.

The Staff Analytics Engineer will build foundational datasets, enhance user data quality, mentor team members, and collaborate on data-driven projects.

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

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business 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 Senior Analytics Engineer will design and maintain data models, develop user-facing data products, optimize BI systems, and troubleshoot data pipelines while ensuring data quality and security standards.

The Lead Analytics Engineer will design and maintain data infrastructure, translate business needs into data solutions, and guide data practices while collaborating with teams.

The Analytics Engineer will lead analytical efforts in Acquisition, implementing data models, dashboards, and A/B testing to inform business decisions.

As a Senior Analytics Engineer, you'll design metrics, generate insights, and drive analytics initiatives to support Netflix's ads business.

As an Analytics Engineer, you'll design data models, maintain ETL pipelines, collaborate with cross-functional teams, and ensure data quality and governance.

The Analytics Engineer will develop data transformations and BI solutions, collaborate with teams to meet business needs, and ensure data quality.

As a Senior Data Analytics Engineer, you'll develop data models, manage the data platform, mentor juniors, and ensure data quality for decision making.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As an Analytics Engineer, you will develop and maintain scalable data transformation pipelines, ensuring data quality and collaborating with stakeholders to create impactful reports.

As an Analytics Engineer, you will enhance the data stack, create self-serve analytics, integrate sources into BigQuery, and develop dashboards with strategic insights.

The Staff Analytics Engineer will lead data projects, ensuring data accessibility and driving impact through analytics engineering while mentoring teams on best practices.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

The Staff Software Development Engineer - Analytics Engineering will design and manage data pipelines, optimize workflows, and work with the Data Science team to enhance business operations through advanced data engineering solutions.

As an Analytics Engineer, collaborate with stakeholders to drive data-driven decisions, develop metrics, and improve data quality for payment experience analysis.

The role involves designing, developing, and maintaining ETL pipelines, ensuring data integrity from various sources, and collaborating with data engineers and stakeholders to fulfill business requirements.

The Sr. Analytics Engineer will develop scalable data models, manage data transformations, support self-service analytics, and collaborate with cross-functional teams to enhance data products and drive decision-making.